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Paper Citation Record · LEDGER

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel

As of 23 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2501.14512.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.14512 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:08:43.839685Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

  • verified exact0
  • verified fuzzy68
  • unresolved19
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f10b7fb-9b26-413c-9a47-1c1711968d60 · outbound

This paper cites GPT-4 Technical Report.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-10T15:08:42.609185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.609185Z digest=sha256:a80107c58388bf465a440f3fa4fcd00cfa5f0a30a7586a1b1afd4a220f277a0c

Observation ac7e537f-ed2d-415a-9162-1af9295f130c · outbound

This paper cites Template attacks in principal subspaces.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Template attacks in principal subspaces

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.653779Z digest=sha256:afac7d337cf66911fc49182ef336f699e1f17daf2926ee90ff8745031f37f3de

Observation 36bd1eb8-115b-48f1-8cad-e7d0377a6cd7 · outbound

This paper cites Efficient template attacks based on probabilistic multi-class support vector machines.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Efficient template attacks based on probabilistic multi-class support vector machines

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.673323Z digest=sha256:bd65f451858aedcfed80c1a5a309082c10344a48b831d23400267d115e4caf1a

Observation 2fcfd256-54bf-418d-af80-1786e577b5ea · outbound

This paper cites CSI NN: Reverse engineering of neural network architectures through electromagnetic side channel.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel CSI NN: Reverse engineering of neural network architectures through electromagnetic side channel

Reference 4

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no resolver link, observed 2026-08-10T15:08:42.677790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.677790Z digest=sha256:43b82b1d5c374179bde76790fd4be02ddab9ee8cec54b54e78446780b27fd0d8

Observation 1205d9bb-b249-491c-bd35-571516210941 · outbound

This paper cites Poster: Recovering the input of neural networks via single shot side-channel attacks.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Poster: Recovering the input of neural networks via single shot side-channel attacks

Reference 5

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no resolver link, observed 2026-08-10T15:08:42.682227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.682227Z digest=sha256:4a461ecc6a6e49f118dd5727ac49b40c81362999c72ca8823a3e822b3cea8036

Observation a76d8f47-8b21-45a7-9770-7c42d92971b5 · outbound

This paper cites Generalized power attacks against crypto hardware using long-range deep learning.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Generalized power attacks against crypto hardware using long-range deep learning

Reference 6

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no resolver link, observed 2026-08-10T15:08:42.686401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.686401Z digest=sha256:867bcbd102d55ca2525f18ac8e7716f76cf1c78eeab27ffea52a47f4414a504c

Observation 3f32b513-a89a-403c-8cbd-41950f233a8b · outbound

This paper cites Template attacks.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Template attacks

Reference 7

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no resolver link, observed 2026-08-10T15:08:42.720136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.720136Z digest=sha256:b91039dd6150bf97e499bb9aca2ffcb2b892643fd02f4dc5df381f7d2a56240d

Observation 7334366a-b9c9-4504-92cd-e77242501bc6 · outbound

This paper cites Template attacks.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Template attacks

Reference 8

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no resolver link, observed 2026-08-10T15:08:42.761680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.761680Z digest=sha256:3148c6e67677dfffde207c71c7102d6bec905a89b9c8b0b1a899547e8d01e87d

Observation 920e6a04-f960-4b75-b886-b13661b5dd66 · outbound

This paper cites On reverse engineering neural network implementation on gpu.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel On reverse engineering neural network implementation on gpu

Reference 9

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no resolver link, observed 2026-08-10T15:08:42.789152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.789152Z digest=sha256:0cd13be4c2536a81f579b98b8fb3314a61d86c87a57dc1a3f20a0b883c20242d

Observation 4cfbf162-44f6-4b79-85f8-e2207ab338de · outbound

This paper cites Tensorflow lite micro: Embedded machine learning for tinyml systems.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Tensorflow lite micro: Embedded machine learning for tinyml systems

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:49.225218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.792836Z digest=sha256:171684bb5d1cc2f5fcac5b9e43a42a5e317a2da8393a0a1cae25654179df618f

Observation b38e7f26-5418-47f3-a671-9527fea1c01c · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Imagenet: A large-scale hierarchical image database

Reference 11

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raw_fallback, observed 2026-08-10T15:08:49.133084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.800292Z digest=sha256:41247a4399d51792383b30b311ad1c60a426474cf1ca3304bac6019aab83190e

Observation 49ece575-d403-447e-b397-1e1ac2372566 · outbound

This paper cites A practical implementation of the timing attack.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel A practical implementation of the timing attack

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.803925Z digest=sha256:d7bc1d2f4dd209476a13105ae472da6912ea4c05e37acabddf12b3bf90555479

Observation 208e01c9-6059-4833-b08b-ae425eb236a4 · outbound

This paper cites Floating-point multiplication timing attack on deep neural network.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Floating-point multiplication timing attack on deep neural network

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.808320Z digest=sha256:82945efc7348d92bbfd3c01a5beb0a08d1cf2bbab0a269b9084dec77da769970

Observation 57952a45-144b-4544-862f-339ab1f4abac · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:42.813121Z digest=sha256:175ca79135e6015433d529a43222a7fa121dae5cfe7d46176955d2054ab8b829

Observation aabaacad-dec0-49b2-974f-e144636250a4 · outbound

This paper cites Realistic eavesdropping attacks on computer displays with low- cost and mobile receiver system.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Realistic eavesdropping attacks on computer displays with low- cost and mobile receiver system

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.816880Z digest=sha256:e7575c45b9c56d36413e2eea63289c986b60ee8b1c17c66ad64ec1983af665be

Observation f6c5366a-5446-4b38-9213-f2c02dce75a2 · outbound

This paper cites Adversarial examples make strong poisons.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Adversarial examples make strong poisons

Reference 16

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raw_fallback, observed 2026-08-10T15:08:48.964941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.821041Z digest=sha256:5d29b01d114cd676d482577a655c7010b3546dd1a311832c818231de8a23b8ff

Observation 3af88b05-d52c-433b-8ffb-b29955bda60a · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Model inversion attacks that exploit confidence information and basic countermeasures

Reference 17

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raw_fallback, observed 2026-08-10T15:08:48.954836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.824626Z digest=sha256:fce9a00bbbe19196e548ce216c5894fd3f01071d1e84ba4daf5b0769794fe359

Observation 09d56556-a2df-4f92-a939-68add943cd16 · outbound

This paper cites Electromagnetic analysis: Concrete results.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Electromagnetic analysis: Concrete results

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.877560Z digest=sha256:cc6989caeeed9a40f1edc7b6a73b54e89ec784e6227be4482928e9dd3f5b70dd

Observation eadade22-0133-4731-afe9-77a4aa8a8431 · outbound

This paper cites Neural network based attack on a masked implementation of AES.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Neural network based attack on a masked implementation of AES

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.922068Z digest=sha256:cc8a127f72608a96d9a0fa77f570a3ab45664ecfe4dd76deeef15de0a3e3912b

Observation 4e9d2d07-f935-4708-b1e8-bbde4731c1e4 · outbound

This paper cites Side-channel-assisted reverse-engineering of encrypted dnn hardware accelerator ip and attack surface exploration.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Side-channel-assisted reverse-engineering of encrypted dnn hardware accelerator ip and attack surface exploration

Reference 20

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raw_fallback, observed 2026-08-10T15:08:48.814843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.949284Z digest=sha256:084e11bb889ed66a3ac7f3dcb8d9d7e9469d3e58c03cd28a26607e00c2f5692e

Observation 3d1abd17-5136-4b78-bac6-7c24a2f14178 · outbound

This paper cites Deep learning with Keras.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Deep learning with Keras

Reference 21

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raw_fallback, observed 2026-08-10T15:08:48.778647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.952892Z digest=sha256:9f79c90fc7cf1eeed9b6fac104e2c79b94737bbc84cbabff4cd44cd8997f0811

Observation ca335478-da86-4618-966e-9aa4abeaabca · outbound

This paper cites Deep residual learning for image recognition.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Deep residual learning for image recognition

Reference 22

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raw_fallback, observed 2026-08-10T15:08:48.745324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.957512Z digest=sha256:9163e2c86900dba86a032af6ea4c22f6e0b3df4de1a06c8f569986ea05e1f7bb

Observation fefc2ac4-e751-4503-9ca8-df2606a52d24 · outbound

This paper cites Recognition of electro- magnetic leakage information from computer radiation with SVM.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Recognition of electro- magnetic leakage information from computer radiation with SVM

Reference 23

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raw_fallback, observed 2026-08-10T15:08:48.735805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.969798Z digest=sha256:a0bac7ceb960b95469ed204b32fe89d5aaf624872a66c15b8bfb24d5981308e1

Observation feb5052b-8ded-49c0-9491-c5f43b08ae70 · outbound

This paper cites BarraCUDA: Bringing Electromagnetic Side Channel Into Play to Steal the Weights of Neural Networks from NVIDIA GPUs, 2023.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel BarraCUDA: Bringing Electromagnetic Side Channel Into Play to Steal the Weights of Neural Networks from NVIDIA GPUs, 2023

Reference 24

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raw_fallback, observed 2026-08-10T15:08:48.726646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.976501Z digest=sha256:ae0b5d3809434c9d9ef23698f2f2e598d9803772c5b6a1d5651b83cbcdcd5e8d

Observation 284f2075-e1b7-4036-8f09-bb671293b559 · outbound

This paper cites Sok: neural network extraction through physical side channels.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Sok: neural network extraction through physical side channels

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:48.709561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.980049Z digest=sha256:53dd6f193d8f0d31d30d7ecbcaf752af25c526b01a851b0575565164f1f8adf1

Observation 4d51ee6b-f89f-4a0c-bc15-041e6e23e10d · outbound

This paper cites Deepsniffer: A dnn model extraction framework based on learning architectural hints.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Deepsniffer: A dnn model extraction framework based on learning architectural hints

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:48.664378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.983170Z digest=sha256:2afd3f21e8f7e60af460362d509e1dcb2043665cc23ecda5de35719dc58a42c8

Observation b2492f72-44a6-4d75-bc3e-ff61ce9301de · outbound

This paper cites A survey of forex and stock price prediction using deep learning.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel A survey of forex and stock price prediction using deep learning

Reference 27

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raw_fallback, observed 2026-08-10T15:08:48.654037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.987603Z digest=sha256:b6dec27d34cfe453004a9e706f2435d16f7b01d41c451c4f8ca376cea0c3000f

Observation 65be5aa9-876d-4a12-9fda-3c69541ffef5 · outbound

This paper cites Power2picture: Using generative cnns for input recovery of neural network accelerators through power side- channels on fpgas.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Power2picture: Using generative cnns for input recovery of neural network accelerators through power side- channels on fpgas

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:48.588155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:42.991396Z digest=sha256:02671a7d4d9d4c73e730ea9adc5e65924500bd7245dd14c7cfc815ab3509e660

Observation faf20d58-56e5-4f89-b998-76f68da4569b · outbound

This paper cites Squeezenet: Alexnet-level accuracy with 50x fewer parameters and< 0.5 mb model size, 2016.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Squeezenet: Alexnet-level accuracy with 50x fewer parameters and< 0.5 mb model size, 2016

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:48.541642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.004448Z digest=sha256:7031b386c605c466e618cdb315c5d6308beb1f29a774b281f0b65bc96d6b1c65

Observation f7422446-1738-48bc-b9f0-619a239af0ad · outbound

This paper cites Like an open book? read neural network architecture with simple power analysis on 32-bit microcontrollers.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Like an open book? read neural network architecture with simple power analysis on 32-bit microcontrollers

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:48.530606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.035838Z digest=sha256:437ca533e914c5d0f08e63bca36fe28851d0ddecf6a94c609998d8c0777c1ef6

Observation 41cd73dd-2bf6-425d-a4c4-baca25dea7fc · outbound

This paper cites In- datacenter performance analysis of a tensor processing unit.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel In- datacenter performance analysis of a tensor processing unit

Reference 31

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raw_fallback, observed 2026-08-10T15:08:48.489904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.094820Z digest=sha256:282cb65fca44822bdd885e1e24e38d0bf46b7c8b5720222b261107c32ee9ebfd

Observation 6f9011c1-7f97-4d69-84a6-71d056adbfa8 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Highly accurate protein structure prediction with alphafold

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.904905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.178277Z digest=sha256:3c2beabd475d40155d975ae85753dde29ae27b437a23823d6c68dac0be0ee463

Observation 78bfafe8-a110-414b-a183-95b58874c130 · outbound

This paper cites Marich: A query- efficient distributionally equivalent model extraction attack.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Marich: A query- efficient distributionally equivalent model extraction attack

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.893978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.207921Z digest=sha256:671383a25171ae6f4eb7835abdb94584d945adbdb82da147bedfde3c813628ea

Observation 1b2333bc-56f3-4144-9ffb-1a5d7e939c32 · outbound

This paper cites Differential power analysis.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Differential power analysis

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.863381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.211827Z digest=sha256:a611809a8a9a105199940cc192b44e2df1694c35247ed0c85c066e728534cb2d

Observation b6dc218e-1aae-416b-8e3e-47fcf4f35fc4 · outbound

This paper cites Learning multiple layers of features from tiny images.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Learning multiple layers of features from tiny images

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.773640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.215558Z digest=sha256:fbd8b7af824b94e98a22c24f0bce2b48dfffb6656389f31b3cb6769fd4d834e7

Observation aa9fecfd-b76d-49ca-93d2-4495be973ad2 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Imagenet classification with deep convolutional neural networks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.762677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.220545Z digest=sha256:c83907a0f9911a63c36cc64bb40f43473d49f5e48576e37fabd5bdfb3201021f

Observation fefbf32c-8643-4ea2-aa4b-d39458b40df8 · outbound

This paper cites Soft tempest: Hidden data transmission using electromagnetic emanations.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Soft tempest: Hidden data transmission using electromagnetic emanations

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.751176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.223895Z digest=sha256:ffd80a2c38e9e879cfd8ab844024c88d1dc5104151e59f5d7d91d07678613a9f

Observation efd1bedc-c575-439a-bd7e-063e0d480636 · outbound

This paper cites Lecun, L.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Lecun, L

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.697980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.228001Z digest=sha256:1b8e349206044909b1fa82d676ca8104b37f894edca1534246e1f95f4add0f5e

Observation 087d4d46-54e0-4318-b01f-eb0268091a06 · outbound

This paper cites The mnist database of handwritten digits.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel The mnist database of handwritten digits

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:43.231355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.231355Z digest=sha256:d437f9a0606c14421f43fb8f33c7d87c24bae00085db28feef9967af21768a13

Observation d17804d7-aa6c-4537-9fdd-85b78fa525f5 · outbound

This paper cites Convolutional networks for images, speech, and time series.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Convolutional networks for images, speech, and time series

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.651036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.234626Z digest=sha256:d5bc98c1cd51a21dc96d5652b2d07137d21f2342b75d5a3d0028aac9d7cba690

Observation adebc103-fff5-4031-9cb8-b42a03de24e9 · outbound

This paper cites Backpropagation applied to handwritten zip code recognition.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Backpropagation applied to handwritten zip code recognition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.640514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.238143Z digest=sha256:5b602558e1a01ebfb59e95ed385ca6a245857ca9d0bd5f31d4938efbff395551

Observation 79b072ba-5a41-428a-8169-51a5a0094dd3 · outbound

This paper cites Power analysis attack: an approach based on machine learning.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Power analysis attack: an approach based on machine learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.629802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.295702Z digest=sha256:5481c6a99db0c37248f72de2e92939001c6866de972f1cf2c147a2003f5c5044

Observation 70650dba-93a5-40a9-b710-09458fcc430a · outbound

This paper cites A machine learning approach against a masked AES.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel A machine learning approach against a masked AES

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.537580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.315770Z digest=sha256:3e970059bf4544cc4c343a7d6c61864cfac48a8a38f48c93e208c087c29ceb63

Observation b65a4c4d-96ef-4d7e-b66d-f819025d822e · outbound

This paper cites Clairvoyance: Exploiting far-field em emanations of gpu to" see" your dnn models through obstacles at a distance.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Clairvoyance: Exploiting far-field em emanations of gpu to" see" your dnn models through obstacles at a distance

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.527914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.320348Z digest=sha256:9f176179aab69a919d27522c772d5533b058b14a39c74dfaa18d4d6843d03c6d

Observation a131bf82-fc3b-46ba-b318-876b680b693d · outbound

This paper cites Edge-llms: Edge-device large language model competition.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Edge-llms: Edge-device large language model competition

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.477983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.324980Z digest=sha256:a7ace82fccd5c7a993a7f740693a863075c4f83b44b4e8d6e83831bff6eaf2eb

Observation 07264da4-28d5-4eac-9bb0-cacb79dd7c7c · outbound

This paper cites Screen gleaning: A screen reading tempest attack on mobile devices exploiting an electromagnetic side channel.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Screen gleaning: A screen reading tempest attack on mobile devices exploiting an electromagnetic side channel

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.411232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.328777Z digest=sha256:dd1cf10f797756cbc87a150866f7d78ae6ad1ad933649ead8eb0385dff396193

Observation cf3092cd-a9fd-4401-8d8f-6c0e67e87a4e · outbound

This paper cites Optimizing loop operation and dataflow in fpga acceleration of deep convolutional neural networks.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Optimizing loop operation and dataflow in fpga acceleration of deep convolutional neural networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.402323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.338563Z digest=sha256:97beba9e3f1755b310e80c7fa583cd275e212ebc8efbc83332bc08fe7380a0cd

Observation c6af6f03-5b38-4645-ab94-813f80ad98a8 · outbound

This paper cites Breaking cryptographic implementations using deep learning techniques.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Breaking cryptographic implementations using deep learning techniques

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.392719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.379392Z digest=sha256:c68c538ca622373a275f049a75f8234c56088441c4bdac40744563210a1a2f51

Observation 0f4b9519-cd48-4951-9af1-4c061befa8e2 · outbound

This paper cites Can one hear the shape of a neural network?: Snooping the gpu via magnetic side channel.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Can one hear the shape of a neural network?: Snooping the gpu via magnetic side channel

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.381824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.402536Z digest=sha256:07e549baf837227b903305a5127ca530c01da9dfc9b6c0a3e718a979da9e5eb7

Observation 57f69c3f-890f-4107-abb3-ddd97236fbc8 · outbound

This paper cites Leaky nets: Recovering embedded neural network models and inputs through simple power and timing side-channels—attacks and defenses.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Leaky nets: Recovering embedded neural network models and inputs through simple power and timing side-channels—attacks and defenses

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.316378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.405810Z digest=sha256:fac020eb0b64f28419cdb1564129874597da0e025361e743c8e691bd3f4b3d3c

Observation a21ccd8c-02a5-4df5-91c7-5d82ef564af8 · outbound

This paper cites Sparseleakynets: Classification prediction attack over sparsity-aware embedded neural networks using timing side-channel information.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Sparseleakynets: Classification prediction attack over sparsity-aware embedded neural networks using timing side-channel information

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.306988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.410364Z digest=sha256:2f1cbe366c778ec48ab05714e425b046173503efb94d8692799905d8f35f4f98

Observation cc24b1b8-c90e-4c67-abb9-ebaf6e950968 · outbound

This paper cites Power analysis attacks: Revealing the secrets of smart cards.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Power analysis attacks: Revealing the secrets of smart cards

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.296833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.414087Z digest=sha256:be6981dd8b4626a39dfedb843e10a18d54200a4c8ebd7e34f7815dc31d0b7cc2

Observation c8b0abe2-4c56-4ae6-b0b5-07e78bb8606f · outbound

This paper cites Microsoft copilot.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Microsoft copilot

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.254446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.418193Z digest=sha256:3c7f4de374bdd4a90d36e9c7bdfd874a5a07954925af3bdd99d4f0b5a34c210c

Observation a82bbd03-27c4-4ffe-8e07-dcfad2fcf9e7 · outbound

This paper cites A survey on neural network hardware accelerators.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel A survey on neural network hardware accelerators

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.142464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.422225Z digest=sha256:c6f5110c54fec775b09053a5898aed2b42e13e292fa096c7dba9e927bd033b10

Observation b41d2d13-7d02-4dc6-8f1c-05b5cd6260bd · outbound

This paper cites Power side-channel attacks on bnn accelerators in remote fpgas.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Power side-channel attacks on bnn accelerators in remote fpgas

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.132404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.425484Z digest=sha256:6d58a77f714bae44d0bf769e64ff1feb6e5edb53906ddbd9a6ef1ea1f585a396

Observation 96d724bf-4e5f-4732-9adb-a505d9ebb457 · outbound

This paper cites Remote power side-channel attacks on bnn accelerators in fpgas.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Remote power side-channel attacks on bnn accelerators in fpgas

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.121712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.429873Z digest=sha256:4df9d88f2743331291e32c7bf96f66746f29097da51617cc0002c629599d6e53

Observation afcf48f4-ccfe-4e77-8374-2d214acdcd88 · outbound

This paper cites I know what you trained last summer: A survey on stealing machine learning models and defences.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel I know what you trained last summer: A survey on stealing machine learning models and defences

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:45.051355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.433447Z digest=sha256:c96a06ca5d3953f52315650f6e6f46247d5ea3d55e40c7378e9dd760c6210bb9

Observation 88285812-eb1b-499c-b741-b4938fdd2d39 · outbound

This paper cites an unresolved cited work.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:08:44.979022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.461892Z digest=sha256:3bdb2da9401124a195a1ac5c2afa95ff6f07a706f32bd5d18361ce95b1dbce98

Observation 1143717d-f935-483d-8a54-b592b3336b21 · outbound

This paper cites Knockoff nets: Stealing functionality of black-box models.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Knockoff nets: Stealing functionality of black-box models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.961653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.524880Z digest=sha256:cffedf752c62f7f78d8f394cc4b588f1011879ee56fc3d5ac36d542668e76659

Observation 8f67eab2-b919-420a-ade5-11ba8ce85029 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Pytorch: An imperative style, high-performance deep learning library

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:43.561369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.561369Z digest=sha256:698e001e9e3df53ff7fc290b9448981d4c12c385d6fb2ebe08dc22bbb0c373b8

Observation 53dbb197-a5d6-40cf-9a2d-ef131ca909ea · outbound

This paper cites Sok: Deep learning-based physical side-channel analysis.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Sok: Deep learning-based physical side-channel analysis

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.935190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.567993Z digest=sha256:d2d223dd21e4852c5a478627d9b0c57c12f8c4a0760bff305dfddc99dd7bc46b

Observation 78b44faa-300b-4cef-bc37-5fd23e95a0de · outbound

This paper cites Machine learning and hardware security: Challenges and opportunities.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Machine learning and hardware security: Challenges and opportunities

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.831202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.572453Z digest=sha256:685b1ab539435c2291d3305637156a9c906aae8d4b8018dbaa2a77511671c55d

Observation 71a79265-b515-4aca-a8a5-61f6362bcaae · outbound

This paper cites Getty images lawsuit says stability ai misused photos to train ai, February 2023.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Getty images lawsuit says stability ai misused photos to train ai, February 2023

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.817839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.575787Z digest=sha256:c6242b626d9b60accec01577571e7f2f3115ba4dcc050bd966f7aaeb264b1d1a

Observation 8146f284-c7ac-40a9-b638-f5ff9c2b6cee · outbound

This paper cites Machine learning for microcontroller-class hardware: A review.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Machine learning for microcontroller-class hardware: A review

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.734398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.579680Z digest=sha256:91cd228e95fbad50d6113763bf8d1dc393c80ee5ec8974fa698f08c705cd8607

Observation 05c662e4-6ed3-404b-bd51-355a0cd3ba10 · outbound

This paper cites Leakage assessment methodology: A clear roadmap for side- channel evaluations.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Leakage assessment methodology: A clear roadmap for side- channel evaluations

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.650776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.584137Z digest=sha256:fc7f3bcddaacd913c2280a12fdd506f6bc7e89009edf765324ff21031cd34ea0

Observation 062d2a67-dc5b-4e3a-815e-6a1704e37301 · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.639106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.586836Z digest=sha256:6e1c6c846053a59d70afe1ac2c733b5b7eb333d8cc966d19c0b3fc018c17b6c5

Observation c53fe1fe-ef75-4a39-a5f8-0fa301f399d7 · outbound

This paper cites Prompt Stealing Attacks Against Large Language Models.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Prompt Stealing Attacks Against Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:43.590558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.590558Z digest=sha256:ff80815759a093766ed1b7ecb5b96f59e4283ca9434923e7c4a4737e1df94b6e

Observation ee6ca625-4d1f-433e-a8f3-f250ae83e65c · outbound

This paper cites Prompt stealing attacks against Text-to-Image generation models.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Prompt stealing attacks against Text-to-Image generation models

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.550057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.596890Z digest=sha256:bb1dd5f0689e9d1c87abc08e27ff1f88157dab79c618a26a76e9f74152047f99

Observation 6b06dd57-18a9-4c3b-9398-a736dc3ab72d · outbound

This paper cites whispering mlaas.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel whispering mlaas

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.463375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.643492Z digest=sha256:76407ecac68818801dea15f7063dd7d1cdfdcebf52c2b12f100cc94a18b4f134

Observation 8ed66554-54f3-4136-b857-12a6dab59d1b · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel X-vectors: Robust dnn embeddings for speaker recognition

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.453805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.647195Z digest=sha256:77f8d4b824d096686cc038ff2a35b221183e6d4a2de899f271fb5dbe28b31226

Observation 714e8866-78e6-46fb-a176-30b2adcb384e · outbound

This paper cites Biomedical image classification in a big data architecture using machine learning algorithms.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Biomedical image classification in a big data architecture using machine learning algorithms

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.353787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.651709Z digest=sha256:e51aff81257edbd0cbf02f5cc43cf19cbb7c23e5a9c969c5c2dee53854af48b0

Observation 0c894153-1570-418f-91ac-efea0e4e232a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Gemini: A Family of Highly Capable Multimodal Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:43.655851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.655851Z digest=sha256:71f77c5a6e7daa77cd0d0717dc89f81c3633ad9b4d7dadf1e20d135d8be26ccf

Observation a90cef48-4bfd-4017-9fd3-218eeede2f7b · outbound

This paper cites Qwen2 Technical Report.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Qwen2 Technical Report

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:43.659505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.659505Z digest=sha256:0834acd9573757d4953e4bce92243ab5edb607ee66aa4ffa5518873b48a57a09

Observation dc8e6fa2-99d6-468d-a80e-e07d1a7a1646 · outbound

This paper cites Catastrophic forgetting and mode collapse in gans.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Catastrophic forgetting and mode collapse in gans

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.343397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.663401Z digest=sha256:e7e2be4c1880722d31a82601bfb9fa1e07700432883c2a3af9136b838876815a

Observation 7704cc9e-f4aa-4a87-84fb-165ae8d78265 · outbound

This paper cites You only get one-shot: Eavesdropping input images to neural network by spying soc-fpga internal bus.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel You only get one-shot: Eavesdropping input images to neural network by spying soc-fpga internal bus

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.306442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.699522Z digest=sha256:6878c29cf73432fe427507734306284df6c107c146377ade3a629d78c1091393

Observation daa5f723-e2b8-428d-9f97-664c70dca31e · outbound

This paper cites Openai and news corp reach deal on use of content, May 2024.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Openai and news corp reach deal on use of content, May 2024

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.271777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.755311Z digest=sha256:2c810c228ec3daf12c62fddddcc3b1fbf49fae2a8cf9dfd0fb377d2da279196a

Observation b126ff3c-0faa-4faa-a0a5-57b912820805 · outbound

This paper cites Stealing machine learning models via prediction APIs.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Stealing machine learning models via prediction APIs

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.260900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.759104Z digest=sha256:2263802160c627731e8d60d22dfbdd11fd51769e159e149f4df9ebedbe28cfe6

Observation 049a353f-7589-430e-9d70-583e077a318c · outbound

This paper cites Electromagnetic radiation from video display units: An eavesdropping risk? Computers & Security, 1985.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Electromagnetic radiation from video display units: An eavesdropping risk? Computers & Security, 1985

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.193701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.762634Z digest=sha256:a12aecc59fb868f858f23c0a1245ed5e7a827fca0ffbe67a9a455b918c775aaf

Observation 4975f933-c743-46e3-90a1-cab0d67e3b73 · outbound

This paper cites Attention is all you need.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Attention is all you need

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:43.766176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.766176Z digest=sha256:6acf8e6a463916d84002ea788db272ed8c1225047abaf25f814350375824e80a

Observation d6c6caed-1126-46a6-b807-510996707d00 · outbound

This paper cites I know what you see: Power side-channel attack on convolutional neural network accelerators.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel I know what you see: Power side-channel attack on convolutional neural network accelerators

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.096964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.770249Z digest=sha256:bb28c3a68cb4ad70990d2922261a08eea9bff014746e43fddb495eae2f634e74

Observation 9f25bf78-e9b9-4e5c-a838-f33a045d753f · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:43.773859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.773859Z digest=sha256:8bc7f5f30ee4886d90e2be1a484e9a6802273c4f5ac395bad23c3878e9c10fdf

Observation 7dfea15e-1567-4ab2-81ff-665885a6ac66 · outbound

This paper cites Deep neural networks with koopman operators for modeling and control of autonomous vehicles.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Deep neural networks with koopman operators for modeling and control of autonomous vehicles

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.084924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.777808Z digest=sha256:79210005bfeb6e1f1864ca9050407f65f7a4ca22b9e2e526e417cd93548c3131

Observation 0b6aefae-2203-40a9-af66-cf16a57f2ebe · outbound

This paper cites Extraction of binarized neural network architecture and secret parameters using side-channel information.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Extraction of binarized neural network architecture and secret parameters using side-channel information

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:44.034531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.781207Z digest=sha256:88d4bc9ba15f3966a1c2d54702a0b1a9232c2778c83728cd2ed67324395dcb3a

Observation 4d3de044-f3e6-4f74-8c8f-3518985b4b32 · outbound

This paper cites Edge-llm: Enabling efficient large language model adaptation on edge devices via unified compression and adaptive layer voting.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Edge-llm: Enabling efficient large language model adaptation on edge devices via unified compression and adaptive layer voting

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:43.968613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.784429Z digest=sha256:ee3f617aa33d0adc4fc9a12c7533864b2308a90a924e3d9a0d227716456008f6

Observation 68b8fd97-3d58-4aeb-a306-871e9c6d137a · outbound

This paper cites Deep learning based recommender system: A survey and new perspectives.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Deep learning based recommender system: A survey and new perspectives

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:43.957947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.787918Z digest=sha256:49e797d2b2d57741676c29469e41c3652289ff77b3a68184ec5761b651bfbfca

Observation bc6ad040-016b-43e9-bbe8-74991d6b07e6 · outbound

This paper cites Effective prompt extraction from language models.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Effective prompt extraction from language models

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:43.946100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:08:43.815870Z digest=sha256:06fc577882702ab389f96dab50f789cd70f25383fc92bfe312cbb43b96b3a729

Observation 285006c3-08b6-4526-ad33-64cefd2a5b3c · outbound

This paper cites Effective Prompt Extraction from Language Models.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Effective Prompt Extraction from Language Models

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:43.839685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.839685Z digest=sha256:9a38a14150fd2ff7a2d8e81aed15346b8042acc944079da4e085bf779fac8253

Observation 1ca5b109-fa14-4d67-95d2-0bba921f5f15 · outbound

This paper cites an unresolved cited work.

Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel Unresolved cited work

Reference 2025

Resolution
parse uncertain
no resolver link, observed 2026-08-10T15:08:43.496333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:43.496333Z digest=sha256:31557e69857001bb159d9cc708d9ffa25af5b0926338f396dbe816a4d295e217

Pith citing papers

No inbound Pith citation observations are available.