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Paper Citation Record · LEDGER

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution

As of 20 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2606.19023.

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

pith.paper-citation-record.v1
2606.19023 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T20:34:32.366757Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

73 of 73 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved71
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8cacceb5-b55f-4a08-a6de-75a50f79fac6 · outbound

This paper cites Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng

Reference 1

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:d6491d7d7ec6d89f8ee4443ac5a0b9aa8ac0f15f0e0f5da6ebcaece8ceadb3e2

Observation 37414afd-3b3e-4ce2-af7f-6206fa566bd3 · outbound

This paper cites Malware Dynamic Analysis Eva- sion Techniques: A Survey.ACM Comput.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Malware Dynamic Analysis Eva- sion Techniques: A Survey.ACM Comput

Reference 2

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:3fc48d801d22f57bc6175ab292b43de5ea7ee42dca7654290f5c67de56acb0a1

Observation 5cf55514-66e5-4c11-b851-6b447b65d25a · outbound

This paper cites A Comprehen- sive Review on Malware Detection Approaches.IEEE Access, 8:6249–6271, 2020.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution A Comprehen- sive Review on Malware Detection Approaches.IEEE Access, 8:6249–6271, 2020

Reference 3

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:db4d49887c00dc1938016cddbb9415dd0cbedfb831864ecf6b973095483a6455

Observation c3b04fb5-6c50-4e01-8275-5efc64778036 · outbound

This paper cites Wild patterns: Ten years after the rise of adversarial machine learning.Pattern Recognition, 84:317–331, 2018.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Wild patterns: Ten years after the rise of adversarial machine learning.Pattern Recognition, 84:317–331, 2018

Reference 4

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:c05256b88a480c759ddf75c06079a92bc88ca3d7945ccc5a1d914a75fc69b1f0

Observation d4ce41e4-b6d0-406e-a5a8-f37befc3159b · outbound

This paper cites Bridges, Tarrah R.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Bridges, Tarrah R

Reference 5

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:5cad3fb5dcb569610529dd3e79bf4fcb05587e5fe66af5d3774f346fdf648195

Observation ffef0d9d-127c-4af7-8227-ff8430ce96cd · outbound

This paper cites Hugging face and virustotal collaborate to strengthen ai security.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Hugging face and virustotal collaborate to strengthen ai security

Reference 6

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:9878675e43dffbe676b0a8bbca9bc205b343dc645749c9b0e89a5bf15696e134

Observation cda18d74-c60a-4626-a026-cbadd7fbbe15 · outbound

This paper cites A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models

Reference 7

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arxiv_id, observed 2026-07-04T01:09:19.763275Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:6cb239e19fb8e2b785e6d9cf955d76e79b3d781575891e86c490b4c94f3b3a04

Observation 29b7f0ca-ed13-4aa4-bdf1-508f3ceed67f · outbound

This paper cites Towards an understanding of anti- virtualization and anti-debugging behavior in modern malware.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Towards an understanding of anti- virtualization and anti-debugging behavior in modern malware

Reference 8

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Observation 5a28fe2d-9c13-4a1a-9aa7-f0ccbccfec96 · outbound

This paper cites Keras, 2015.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Keras, 2015

Reference 9

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:e031b50de2d403366f2fe159a99c232fd5598adcb16dca705146dab28517c8d9

Observation 00f9e727-5619-423d-8efd-71b8d4f0047f · outbound

This paper cites ClamA V: Open-Source Antivirus Toolkit.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution ClamA V: Open-Source Antivirus Toolkit

Reference 10

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:b2e0faafe0666030b4fc5ac6699e34bfd3abab6c574daddb05a9655020250c3c

Observation b47735ac-413d-4857-93f2-28bd883af92b · outbound

This paper cites CVE-2024-3660.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2024-3660

Reference 11

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:33e1fe1a95b718112d23a58a726c8b52d18877f1abde6599d3a127bdddc9472a

Observation 9e7dc78a-3554-42b1-953b-a6ed6420db0f · outbound

This paper cites CVE-2025-12058.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2025-12058

Reference 12

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:804e3c29396c55740ea7396bbb1eed6247dddad45ec9a3b322e45f6225d89b75

Observation 81865d36-b195-4759-bc1c-82284b1cc8d6 · outbound

This paper cites CVE-2025-1550.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2025-1550

Reference 13

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:7ace079a26d4b86b2c9dcf2734376072777d0bc5f3f41ad9f5c70442f297e714

Observation 475aa3ec-2451-4700-85c3-5b1bfb805271 · outbound

This paper cites CVE-2025-32434.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2025-32434

Reference 14

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:ab92a1f03124a38d08a2d312935b4befa7ed4ac21b623ac55803244667f80779

Observation de7cd025-a66f-4ead-9fdc-be72ba7e637c · outbound

This paper cites CVE-2025-49655.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2025-49655

Reference 15

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:3b2a7522ad2d189e38e6aefdd075ecac308485e53e98f796b135d6113f166c01

Observation 033b2247-0923-427f-aec8-796241ad715c · outbound

This paper cites CVE-2025-8747.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2025-8747

Reference 16

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:0d68739724317117aa8b003a4f1fda1545dcd9eb69371155c91f5a0a0e317442

Observation 8e8024b4-98c7-4bf2-b226-d29f1438c61c · outbound

This paper cites CVE-2025-9905.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2025-9905

Reference 17

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:941e7215578a7866f807481e2f8c55a2c9386fb04ab65b3ae8cd0f77c0298088

Observation 626f7f0e-45b7-4cd5-a6fb-ed449be41a69 · outbound

This paper cites CVE-2025-9906.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2025-9906

Reference 18

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:42f0c276551cd02f9f10192f8b712f080b60ef6276f8b69a551c72d2a863b357

Observation ab053ef2-5f8e-4d5d-8c5b-0fc97235c8f6 · outbound

This paper cites CVE-2025-1550 - Bypassing Keras safe_mode for Arbitrary Code Execution.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution CVE-2025-1550 - Bypassing Keras safe_mode for Arbitrary Code Execution

Reference 19

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Observation ecbea3b8-95a9-44a1-ab35-d20dda9d3cc4 · outbound

This paper cites an unresolved cited work.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Unresolved cited work

Reference 20

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:ace324be61f3595228e510e9c6351cc378dae30709e27467517161b9e54fa964

Observation acb2d743-463d-4172-ac61-1c824a68bd55 · outbound

This paper cites libdebug: Build Your Own Debugger.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution libdebug: Build Your Own Debugger

Reference 21

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:0becb16588827638bc1111d51c4e72d7bc4c5c05e997016d9d96ffade3ee2abf

Observation ce81add5-ba0b-4d1f-a497-bb1b2123602c · outbound

This paper cites Poster: lib- debug, Build Your Own Debugger for a Better (Hello) World.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Poster: lib- debug, Build Your Own Debugger for a Better (Hello) World

Reference 22

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:26a986d7784c12e58667f96d31ba78da162eec19c025fd976656f4bfcd5a3255

Observation d4a05547-0bbb-412d-9521-76a4125ef0e7 · outbound

This paper cites On the (In)Security of Loading Machine Learning Models.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution On the (In)Security of Loading Machine Learning Models

Reference 23

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:575534756dc44ce1509df4fd500323fa7ff1b27d26287297802fd2177f021aef

Observation 38f6d2ad-e57d-459f-811f-edd439d76ff8 · outbound

This paper cites Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Reference 24

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:d78250e3cba820195e3f3b2320ebd9fc2c3469304f2ce432d52be5d2a6f8f562

Observation 1cd695c0-5496-4759-ae84-bcf3ae3393b0 · outbound

This paper cites A survey on automated dynamic malware-analysis techniques and tools.ACM Comput.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution A survey on automated dynamic malware-analysis techniques and tools.ACM Comput

Reference 25

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Observation ba0e6679-3834-4719-8f51-f5a85d3f1423 · outbound

This paper cites Falco: Cloud Native Runtime Security.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Falco: Cloud Native Runtime Security

Reference 26

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:7c61c8a47e54a9805a5ed9af33055a065508751f7f96d492ca72e61989dfdc27

Observation 2b4d2afb-da9e-4a5b-8c77-6a57d573456e · outbound

This paper cites Forrest, S.A.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Forrest, S.A

Reference 27

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:ea039c8d2ad1c4ff728d0be48dbbf79f137d344e7fbe5c8f0f32767ff9cd0ebd

Observation 4e76b563-698a-403b-9377-86b823b25735 · outbound

This paper cites an unresolved cited work.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Unresolved cited work

Reference 28

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:b8447522d488a3e08eb8c49d1e6a5d42a14aa5905696a4f856c333b25b2160ef

Observation 8c2cef53-3875-4334-a539-a8c6311e090f · outbound

This paper cites Install TensorFlow with pip.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Install TensorFlow with pip

Reference 29

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:a250cce0741e2c36759a228ea49c04f4c8ae8b5c25c604ce8f82da0a2282e356

Observation 5c3b6e21-cb1c-47f0-97cf-657a66c5bbb1 · outbound

This paper cites TensorFlow Hub: Reusable Machine Learning Modules.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution TensorFlow Hub: Reusable Machine Learning Modules

Reference 30

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:12da8c28df97df0d0dd4be1083157dbab3249e3aa96ec5fdab582a65a3cdaec4

Observation 42091141-3836-419c-b33a-8398459ec9ca · outbound

This paper cites Security and Pickle Files — Hug- ging Face Hub Documentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Security and Pickle Files — Hug- ging Face Hub Documentation

Reference 31

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:6ca9914bce736ff5a4ade67d7b83846dbfca5014002e3663dd469b6009dea2d9

Observation bfca1424-8021-45cc-8c1a-432e78d52619 · outbound

This paper cites Hugging Face Hub Documentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Hugging Face Hub Documentation

Reference 32

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:73e05552daafb9388761e3bb6783a007c5606bae47aa8d47a6f02537a994043a

Observation 58f72924-fc19-4b50-b3e0-5cbf89a7cd99 · outbound

This paper cites Python Developers Survey 2024.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Python Developers Survey 2024

Reference 33

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:2fd5f6c54eb731fe1985bb77327c995af49157e6ab2ff996525e4492085576a1

Observation ac8a7318-343c-4e2b-ba69-a14b2eec5c74 · outbound

This paper cites Software Supply Chain Solutions for DevOps and Security — JFrog.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Software Supply Chain Solutions for DevOps and Security — JFrog

Reference 34

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:f7f1f12fe3f40e7a4b82f93b273a446382f5388aeb5286b8df90349744045950

Observation bf54ef54-4e3e-4d0b-a979-ea680ac1de4f · outbound

This paper cites Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K

Reference 35

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:b4ec17c90a665d3d787041728d3c4bb150ac1e22ba91dcbbbd264c479d72c58b

Observation 2de3cee8-40ba-41da-9dd3-e004dbe696c8 · outbound

This paper cites Schorlemmer, George K.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Schorlemmer, George K

Reference 36

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:61e9e252dbfb8d2e9efac493b0f12d395187cf48b3b72d101b6f44c0b8babc3b

Observation b61ed9c5-d29f-4989-8482-9a68691f983e · outbound

This paper cites Safe Harbor or Hostile Waters: Unveiling the Hidden Perils of the TorchScript Engine in PyTorch.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Safe Harbor or Hostile Waters: Unveiling the Hidden Perils of the TorchScript Engine in PyTorch

Reference 37

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:0920ca5d8e609b952d250e82d1a338f8e67f8cda0276de8e46f8657b567d9425

Observation 4d135df3-dca6-4b6a-916c-ef2494c1c8cd · outbound

This paper cites Kaggle Models.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Kaggle Models

Reference 38

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:733c6076c51a70cc6376a9e1af4f66430dd14e1992c62c3a3e9aa9e34d1f5bb2

Observation 1568e44c-6cef-46d3-b4f7-5562e61982d8 · outbound

This paper cites Kellas, Neophytos Christou, Wenxin Jiang, Penghui Li, Laurent Simon, Yaniv David, Vasileios P.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Kellas, Neophytos Christou, Wenxin Jiang, Penghui Li, Laurent Simon, Yaniv David, Vasileios P

Reference 39

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Observation c937c41a-3ed3-4439-b7e4-5dba0dbfab38 · outbound

This paper cites Serialization and Saving — Keras Documentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Serialization and Saving — Keras Documentation

Reference 40

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Observation c82a5fa6-024d-4484-bde9-ccb2dc082076 · outbound

This paper cites Model Training APIs — Keras Doc- umentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Model Training APIs — Keras Doc- umentation

Reference 41

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Observation fe8fdf1f-e98f-4d17-8493-6fec1915f535 · outbound

This paper cites Whole model saving & loading - Keras.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Whole model saving & loading - Keras

Reference 42

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Observation e99f2b27-fe2e-4af7-b768-5c6f7522d3c8 · outbound

This paper cites SoK: Taxonomy of Attacks on Open- Source Software Supply Chains.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution SoK: Taxonomy of Attacks on Open- Source Software Supply Chains

Reference 43

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Observation 21d68e5c-54f6-41b7-8310-26ae45f1b254 · outbound

This paper cites ptrace(2) — Linux manual page.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution ptrace(2) — Linux manual page

Reference 44

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Observation 8e74e780-9788-443f-b2a3-740e95e6330a · outbound

This paper cites seccomp(2) — Linux manual page.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution seccomp(2) — Linux manual page

Reference 45

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:1c8eb0beddbc0419176ce476bd381a3c67e39435ad08cc6fe44dbb0f366c83a8

Observation 4469d9ae-d5ae-4587-af57-f969edcb2fec · outbound

This paper cites The art of hide and seek: Making pickle-based model supply chain poisoning stealthy again, 2025.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution The art of hide and seek: Making pickle-based model supply chain poisoning stealthy again, 2025

Reference 46

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:45d42a44b94f47f4b9d7ed04ed8be6a670d5bf7e692ccc7c3e3d6e9745c08f71

Observation 10c50a6d-a0b1-47cf-a2ed-2cc10a279941 · outbound

This paper cites Position: Machine Learning Models Have a Supply Chain Problem.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Position: Machine Learning Models Have a Supply Chain Problem

Reference 47

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:cd413f95f1cb65dcab164788a0f0a90f25ae53561348ebebd819545981ebc78b

Observation ded1f9ca-eb33-4907-9777-8d23ff35670e · outbound

This paper cites Sysmon for Linux.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Sysmon for Linux

Reference 48

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:dcb8e9e42758a84fcad2bb0a7fe897abd3f0de464559509c71fac9c56f050ea5

Observation f1660560-b77e-483e-a4db-6de109854abc · outbound

This paper cites Sysmon v15.15.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Sysmon v15.15

Reference 49

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:b84f4205dbb6b6c6c35ec1f1027c866e29e232939ef3c26400befa412f31d91a

Observation 280c8e89-0083-461d-bd04-402877f3dd7b · outbound

This paper cites 2022 Kaggle Machine Learning & Data Science Survey.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution 2022 Kaggle Machine Learning & Data Science Survey

Reference 50

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Observation c88ec31e-8faa-4c39-a225-b26ebca2cdf4 · outbound

This paper cites 4M Models Scanned: Protect AI + Hug- ging Face 6 Months In.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution 4M Models Scanned: Protect AI + Hug- ging Face 6 Months In

Reference 51

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:9f923e6c719fc059c019967453016fc72fde106b9523c4a03e2f864d10506d1c

Observation 86a9bd5c-06fd-4268-a552-7a6cd6630530 · outbound

This paper cites Backstabber’s Knife Collection: A Review of Open Source Software Supply Chain Attacks.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Backstabber’s Knife Collection: A Review of Open Source Software Supply Chain Attacks

Reference 52

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:1902f7c879d4a2ea8f439c282ef682b09d78e766ae1f6c061583205ebf1fef15

Observation bc2972c3-dfd8-4bda-872a-0cc35f677194 · outbound

This paper cites Loading Models, Launching Shells: Abusing AI File Formats for Code Execution.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Loading Models, Launching Shells: Abusing AI File Formats for Code Execution

Reference 53

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:3255ce9ee3e57bcaf11fdd1e8c8937a488d2bddf15d3e49613477450f66350a1

Observation 287b4b1a-af68-408c-8904-8e94f9505dee · outbound

This paper cites TESSERACT: Eliminating Experimental Bias in Malware Classifica- tion across Space and Time.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution TESSERACT: Eliminating Experimental Bias in Malware Classifica- tion across Space and Time

Reference 54

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:54d194bdfdaaead620641d4f06893a1bdb3e90bf04130b56e53fc839b04de0af

Observation a75de857-0f22-4b66-9128-e2ad2698e003 · outbound

This paper cites ModelScan: Open source protection against model serialization attacks.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution ModelScan: Open source protection against model serialization attacks

Reference 55

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:4a348a6de1c0b7f4849e5b0e6fa1f1a37ba778d416325b93a99f6c973c3c8cd5

Observation a97f6be1-c09b-4dea-9fde-bcf5cae1a6eb · outbound

This paper cites Protect AI — The Platform for AI Security.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Protect AI — The Platform for AI Security

Reference 56

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:41cb4f2342d51bfaae7aa5fefd62cd3c615c033d173a3ed572fe80be39bc7260

Observation aecfa8cb-7958-440c-b8bc-e183f08ef532 · outbound

This paper cites pickle — Python object serialization.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution pickle — Python object serialization

Reference 57

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:931960581d0e1993c1f9923322dcceaef012a264b7744033b7bdb6b4b4f04f4d

Observation 3db25ef3-7d4d-49d4-bf9b-d820efbd9879 · outbound

This paper cites Serialization semantics — Py- Torch Documentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Serialization semantics — Py- Torch Documentation

Reference 58

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:0a03b61165ac9b545da1e07bd437e4d6dc3fa5d3a6fdb74d0922b2545af636a3

Observation 538215c3-e8f8-4eeb-b15b-2b4f3bb046fb · outbound

This paper cites Save and Load the Model — Py- Torch Tutorials 2.7.0+cu126 documentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Save and Load the Model — Py- Torch Tutorials 2.7.0+cu126 documentation

Reference 59

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Observation bf994565-1a3b-4e10-abf2-76bda9711680 · outbound

This paper cites PyTorch Hub.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution PyTorch Hub

Reference 60

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Observation 3f993145-4148-4c2c-9270-3c202aaddfe3 · outbound

This paper cites A systematic literature review on host-based intrusion de- tection systems.IEEE Access, 12:27237–27266, 2024.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution A systematic literature review on host-based intrusion de- tection systems.IEEE Access, 12:27237–27266, 2024

Reference 61

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:ca0e994e8443478b55ede4980e52bc6bbf2a7bb1f71d834847754b32911e1d73

Observation 18f53721-5850-457b-9818-326c52ae3987 · outbound

This paper cites Extended berkeley packet filter: An application perspec- tive.IEEE Access, 10:126370–126393, 2022.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Extended berkeley packet filter: An application perspec- tive.IEEE Access, 10:126370–126393, 2022

Reference 62

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Observation ec730e5d-e9cc-461c-a336-9fb0011a9a38 · outbound

This paper cites Sysdig: Cloud Security Starts at Runtime.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Sysdig: Cloud Security Starts at Runtime

Reference 63

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Observation b30abfce-a6fd-4fff-aa3f-ae6f72712b8a · outbound

This paper cites SavedModel format guide — TensorFlow Documentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution SavedModel format guide — TensorFlow Documentation

Reference 64

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Observation 12d08203-bd91-45b2-bea6-3939de02550c · outbound

This paper cites Training checkpoints — Ten- sorFlow Documentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Training checkpoints — Ten- sorFlow Documentation

Reference 65

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Observation 4f54f239-4af3-4842-9de8-3599d8f73d2e · outbound

This paper cites tf.keras.models.load_model — TensorFlow API Documentation.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution tf.keras.models.load_model — TensorFlow API Documentation

Reference 66

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:9debe225e4d705d9adf1f6db8d6a23c3620e5e1ea459c6d24fbdbde4449f6578

Observation 4c7b2adf-425a-429d-a9e5-6c82b08210bf · outbound

This paper cites TensorFlow I/O: Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution TensorFlow I/O: Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

Reference 67

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:9bfb33ed1f73ddd7338e802c4a4edc11e475f558ca911ddd5000cc4ce8224311

Observation 109132fa-c5ce-41a1-8bb1-aa4f67140249 · outbound

This paper cites TensorFlow Security Policy.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution TensorFlow Security Policy

Reference 68

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:d62c4d39f941edb084477dc251554a5e0b031f76b680354e0fe5615f8fa62faf

Observation eaff2b94-f885-4351-b09b-6569c9e429c5 · outbound

This paper cites Fickling: A Tool for Manipulating and Analyzing Python Pickle Programs.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Fickling: A Tool for Manipulating and Analyzing Python Pickle Programs

Reference 69

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:b14f7c88e6abc3a65f7105417e40bf7a088e1308a56c3133df6bf6110f127d05

Observation f5dbc45d-2006-408b-8b2f-86580f48b739 · outbound

This paper cites VirusTotal.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution VirusTotal

Reference 70

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:5e17e0b2b396e3a72aa62eb75ad18afd33aa676efd0b5e6c3d76a00764d94e2c

Observation 2a490bf5-5e2a-4a2b-b1fb-7a2e2e3ee671 · outbound

This paper cites Linux Security Mod- ules: General Security Support for the Linux Kernel.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Linux Security Mod- ules: General Security Support for the Linux Kernel

Reference 71

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:95b7d98d07e19f76d58483f1e09a9d444912ae7cfb8cfacf9cfaf56b33b941a9

Observation 7d5905ec-106e-4183-af0e-a61f7f407c2e · outbound

This paper cites Models Are Codes: Towards Measur- ing Malicious Code Poisoning Attacks on Pre-trained Model Hubs.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution Models Are Codes: Towards Measur- ing Malicious Code Poisoning Attacks on Pre-trained Model Hubs

Reference 72

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source=pdf_text observed=2026-06-26T20:34:32.366757Z digest=sha256:a2a7d8f256350fa06c2beb2fa74c7d7db14e015a4341f123c3c6b38d7d10d363

Observation 1d6b9020-a078-447c-a493-5ef4ecd6fc50 · outbound

This paper cites outside the standard library.

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution outside the standard library

Reference 73

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Pith citing papers

No inbound Pith citation observations are available.