Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel | Paper Citation Record

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:42.653779Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:42.673323Z

Source-reported events for the cited work

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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

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

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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

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

Source-reported events for the cited work

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:49.122984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:49.111911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:42.813121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:48.975292Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:48.890016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:48.824596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: verified fuzzy; 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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

Resolution: 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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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.

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.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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.

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 2026-08-22T06:32:14.747728+00:00.

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.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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.

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers