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Paper Citation Record · LEDGER

Cryptographic Backdoor for Neural Networks: Boon and Bane

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 4 inbound Pith citation observations for arXiv:2509.20714.

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

pith.paper-citation-record.v1
2509.20714 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:17:08.589033Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T02:21:51.767054Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:11:12.509703Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 199c4f71-9835-4e66-b52f-970211bee9c9 · outbound

This paper cites Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring,

Reference 1

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source=pdf_text observed=2026-08-04T15:17:08.507333Z digest=sha256:35ba4d892df759a321d15b4b07904fd82db7bc5cad647f99bd79f6694fd69509

Observation d2bb9950-aaa3-4f0e-9352-5cc1d05358b6 · outbound

This paper cites Certified neural network watermarks with randomized smoothing,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Certified neural network watermarks with randomized smoothing,

Reference 2

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source=pdf_text observed=2026-08-04T15:17:08.511034Z digest=sha256:34bec13f2e1b3978f5be99e61a730ef60cba395efd81533deefbf6bf3bc0074b

Observation aa66051b-a9de-4ac5-b43c-53962cde0881 · outbound

This paper cites Towards Robust Model Watermark via Reducing Parametric Vulnerability,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Towards Robust Model Watermark via Reducing Parametric Vulnerability,

Reference 3

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source=pdf_text observed=2026-08-04T15:17:08.514148Z digest=sha256:d458d4b53ea9a67f4d54447d556747f57a7a9ef13ba05eea3d29ee715c8f7057

Observation 5a61d05a-47f4-4018-9c12-57b0b9b14c14 · outbound

This paper cites Entangled Watermarks as a Defense against Model Extraction,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Entangled Watermarks as a Defense against Model Extraction,

Reference 4

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source=pdf_text observed=2026-08-04T15:17:08.517232Z digest=sha256:84677b69700d95c10f1e9bcf97af5002a92f36b5df4981af151c220098a93cdc

Observation bc20b28b-c232-4cbc-bb3f-32ade8f26826 · outbound

This paper cites Deep Neural Network Fingerprinting by Conferrable Adversarial Examples,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Deep Neural Network Fingerprinting by Conferrable Adversarial Examples,

Reference 5

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source=pdf_text observed=2026-08-04T15:17:08.520639Z digest=sha256:2f400f90a75513f1c1696ac0cf5da1bad2b3adb76d251c7a9f825816827fdb46

Observation 2181c1cd-1e92-4bdf-893c-fccf34a3e624 · outbound

This paper cites Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models,

Reference 6

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source=pdf_text observed=2026-08-04T15:17:08.523997Z digest=sha256:b904cbc8bff35aa4d7e35682b7d240b00c5355220758d0b873b6e09955572930

Observation d733c701-e0e4-4c57-be22-f3c86c6ca772 · outbound

This paper cites Are you stealing my model? sample correlation for fingerprinting deep neural networks,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Are you stealing my model? sample correlation for fingerprinting deep neural networks,

Reference 7

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source=pdf_text observed=2026-08-04T15:17:08.527125Z digest=sha256:e5d9869e52ecd44e1d4ce891430330868ea53c61ddc89580da9c9b1132d84d32

Observation 0c4a9689-c6be-41b9-81a0-ea882c22890b · outbound

This paper cites United we stand, divided we fall: Fingerprinting deep neural networks via adversarial trajectories,.

Cryptographic Backdoor for Neural Networks: Boon and Bane United we stand, divided we fall: Fingerprinting deep neural networks via adversarial trajectories,

Reference 8

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source=pdf_text observed=2026-08-04T15:17:08.530294Z digest=sha256:8fbca8f77a7fa72026c99e9b569bf6136d0e33fc10fd52f2f8ff4ead9d8a3ef7

Observation c4c98679-e10a-4ba2-b07d-2b7924e4659e · outbound

This paper cites BadNets: Evaluating Back- dooring Attacks on Deep Neural Networks,.

Cryptographic Backdoor for Neural Networks: Boon and Bane BadNets: Evaluating Back- dooring Attacks on Deep Neural Networks,

Reference 9

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source=pdf_text observed=2026-08-04T15:17:08.533399Z digest=sha256:ff24c89e662efe38ba82eb6fd5a42c4bdfe5edd6254dd39ea266f496e599ccc8

Observation a63b608e-e549-4875-864e-2de30e78a2e9 · outbound

This paper cites Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract],.

Cryptographic Backdoor for Neural Networks: Boon and Bane Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract],

Reference 10

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source=pdf_text observed=2026-08-04T15:17:08.536383Z digest=sha256:16688a427bc335b7bf7bef4970470ddeef55e16ef89892be886e6e43ff851942

Observation 1b962306-7a86-4eea-967c-dcf7d1c7532c · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Cryptographic Backdoor for Neural Networks: Boon and Bane Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 11

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source=pdf_text observed=2026-08-04T15:17:08.539208Z digest=sha256:c99dbba14cc5f03a84c1b35129fdc5148558735cb398be60b76229f156bc44a9

Observation d917fba3-c264-4a8f-8991-abcbf1ff0c09 · outbound

This paper cites Label-Consistent Backdoor Attacks.

Cryptographic Backdoor for Neural Networks: Boon and Bane Label-Consistent Backdoor Attacks

Reference 12

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source=pdf_text observed=2026-08-04T15:17:08.542648Z digest=sha256:9103f4370273195d91be05443607152d3e676b5b4180acc417c547df7ccaa4a5

Observation 608b0eb3-5bcf-47aa-a672-94a3893eb245 · outbound

This paper cites Hidden Trigger Backdoor Attacks,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Hidden Trigger Backdoor Attacks,

Reference 13

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source=pdf_text observed=2026-08-04T15:17:08.546345Z digest=sha256:3bb4878f033f40980c799964a1a537d504a2b57e0126129eb5bb990ae42508bf

Observation d88840dd-58be-4b48-b296-75331b250d40 · outbound

This paper cites Trojaning Attack on Neural Networks,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Trojaning Attack on Neural Networks,

Reference 14

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source=pdf_text observed=2026-08-04T15:17:08.549445Z digest=sha256:2ce07d10265c90ec8bbc09b724505b9d7374f0530ba6fb0830f7f3f37cccf873

Observation 4ba0ebce-5be3-4570-aca5-55a65c15c8cd · outbound

This paper cites An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks,.

Cryptographic Backdoor for Neural Networks: Boon and Bane An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks,

Reference 15

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source=pdf_text observed=2026-08-04T15:17:08.552265Z digest=sha256:b839a45b34a8b448e3fd3642d6e3c5697eef58da748a29265759f9928ae1601a

Observation e20269c6-ed12-4b03-80d9-061249c0eb53 · outbound

This paper cites Latent Backdoor Attacks on Deep Neural Networks,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Latent Backdoor Attacks on Deep Neural Networks,

Reference 16

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source=pdf_text observed=2026-08-04T15:17:08.555528Z digest=sha256:ffb33468ee01dccfe4957373e029ccf1ba4d2f50c22b56479cf189fb49339a61

Observation ccd5a724-2aee-49c0-b5d5-b55ed9760936 · outbound

This paper cites Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models,

Reference 17

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source=pdf_text observed=2026-08-04T15:17:08.558308Z digest=sha256:cdb040b01958b744c06ecc0cee563dbeaaf6f1e2ed98ab1c52422c2aab22e483

Observation b612b69c-9308-41bf-8f28-069c58747cb3 · outbound

This paper cites Handcrafted Backdoors in Deep Neural Networks,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Handcrafted Backdoors in Deep Neural Networks,

Reference 18

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source=pdf_text observed=2026-08-04T15:17:08.560974Z digest=sha256:fd27205dcad2b6e15aab25c9c89831466ec930a246498ba9a12009288ed576e0

Observation c5904b45-b740-464d-b30d-b015b0df7f9e · outbound

This paper cites Protecting Intellectual Property of Deep Neural Networks with Watermarking,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Protecting Intellectual Property of Deep Neural Networks with Watermarking,

Reference 19

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Observation 39e0b62d-8df1-4ba8-9b6a-5838059d72c0 · outbound

This paper cites How to Securely Implement Cryptography in Deep Neural Networks,.

Cryptographic Backdoor for Neural Networks: Boon and Bane How to Securely Implement Cryptography in Deep Neural Networks,

Reference 20

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source=pdf_text observed=2026-08-04T15:17:08.566520Z digest=sha256:f847319338fee458e9dba08fbfb7aa5703153b19ef8dd5fc7ab4dca84a946584

Observation 8dbd881f-be0e-4e02-befa-54322f0c53a4 · outbound

This paper cites Unelic- itable Backdoors via Cryptographic Transformer Circuits,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Unelic- itable Backdoors via Cryptographic Transformer Circuits,

Reference 21

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source=pdf_text observed=2026-08-04T15:17:08.569426Z digest=sha256:23068d2c5a1ea025a47e470392447a9e14ec5ff8ea95ffa1b858e0b5cf96beb8

Observation 64958d84-c8f1-453f-b949-2c8fcd31b55f · outbound

This paper cites Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models,

Reference 22

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source=pdf_text observed=2026-08-04T15:17:08.572230Z digest=sha256:99d549d27cdc7ff1f643c27219c46717dc8144b3293f5813777f708dfd8d325d

Observation 0635a0fd-f3e8-4b69-b1bb-188fcf76001c · outbound

This paper cites Cryptanalytic Extraction of Neural Network Models,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Cryptanalytic Extraction of Neural Network Models,

Reference 23

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source=pdf_text observed=2026-08-04T15:17:08.574885Z digest=sha256:e2c908b80ffd6ad55d679c6640cb0e7aa3e7bd236d807f8d2dc8c4fa0fc40537

Observation 4215a4a9-a6bb-47eb-9b8b-8240662ca3a9 · outbound

This paper cites High- speed high-security signatures,.

Cryptographic Backdoor for Neural Networks: Boon and Bane High- speed high-security signatures,

Reference 24

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source=pdf_text observed=2026-08-04T15:17:08.577863Z digest=sha256:1941eaa22b0ffb18d472c5dbbbfc262240870df57b4c71757eea323bbd281171

Observation de4181de-4c98-4f9b-93f0-3a32cfbdccab · outbound

This paper cites CRYSTALS – Dilithium: Digital Signatures from Module Lattices,.

Cryptographic Backdoor for Neural Networks: Boon and Bane CRYSTALS – Dilithium: Digital Signatures from Module Lattices,

Reference 25

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source=pdf_text observed=2026-08-04T15:17:08.580904Z digest=sha256:5404d01b9da1c6ca82d6935b93e302e02c79bb0739059d53a9fc7e46808f8138

Observation 8d204c26-2555-42b7-b037-ba318ae6febc · outbound

This paper cites Keying Hash Functions for Message Authentication,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Keying Hash Functions for Message Authentication,

Reference 26

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source=pdf_text observed=2026-08-04T15:17:08.583686Z digest=sha256:d64ce07c074817f48944532c587ced50c5683dfbe454e82b7342cb6d6a51fe1b

Observation 0db70d61-23dd-4c71-8779-062932e6a15c · outbound

This paper cites Mnist handwritten digit database,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Mnist handwritten digit database,

Reference 27

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source=pdf_text observed=2026-08-04T15:17:08.586512Z digest=sha256:59cf88ed94bf0dd7a1c218246daa6b63d092b34f917182c88a975dce76c5913c

Observation da959118-46ee-4d82-81cc-849fe7c6bac1 · outbound

This paper cites Random Features for Large-Scale Kernel Machines,.

Cryptographic Backdoor for Neural Networks: Boon and Bane Random Features for Large-Scale Kernel Machines,

Reference 28

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source=pdf_text observed=2026-08-04T15:17:08.589033Z digest=sha256:c863f9cfc003db97f85258cd9b57edfb9c25bd4e0bcf50b2f2419bd8f3c21fc2

Pith citing papers

Observation 78f367ee-521e-41ce-8295-a49c2fc00fdc · inbound

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions cites this paper.

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions Cryptographic Backdoor for Neural Networks: Boon and Bane

Reference 32

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arxiv_id, observed 2026-06-09T02:05:21.445841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T17:50:49.951655Z digest=sha256:3c03248ab4b5cd6c3002d7335aa993e8dfea414bbaff024d045c04216ebbc3fd

Observation 1b03b9a3-6339-42ce-b6d1-b1ba2111797a · inbound

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions cites this paper.

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions Cryptographic Backdoor for Neural Networks: Boon and Bane

Reference 32

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source=arxiv_source observed=2026-07-12T17:35:56.649298Z digest=sha256:5d2ab918d17386bbbe0cf4cfe8a9536c140065ccf35f83160325ddbb2ecbc7f8

Observation 08eecdbb-5528-4588-9146-1acba95f5757 · inbound

Statistically Undetectable Backdoors in Deep Neural Networks cites this paper.

Statistically Undetectable Backdoors in Deep Neural Networks Cryptographic Backdoor for Neural Networks: Boon and Bane

Reference 60

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source=arxiv_source observed=2026-07-13T02:21:51.767054Z digest=sha256:c5e2b62fb9652aa6965f122f920604c3741379087725d6ca12c274e6b7b5d190

Observation 7e8b215c-0354-43d3-8706-e243b1684e3a · inbound

Statistically Undetectable Backdoors in Deep Neural Networks cites this paper.

Statistically Undetectable Backdoors in Deep Neural Networks Cryptographic Backdoor for Neural Networks: Boon and Bane

Reference 98

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source=arxiv_source observed=2026-07-13T02:21:51.767054Z digest=sha256:e94eb869b622823502d500560452fabee462d78cab85df030569bc9ceee4b2dc