Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T17:51:45.801965Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2607.17503.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T17:51:45.801965Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
77 of 77 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 35704110-02a4-490e-8a77-9f0b6f86a560 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Hugging face – the ai community building the future
Reference 1
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Observation 1c0647a8-2662-4b70-8566-318c6be61e8f · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Unresolved cited work
Reference 2
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Observation 1b43a903-09a4-4a74-aa94-6ebe76b1aabc · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Opencsg,
Reference 3
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Observation 017c25f6-2a97-4a15-a96f-1f1c02029f67 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Modelscope,
Reference 4
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Observation 62f5d65a-0455-4aca-a766-2f609f20280f · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks nvidia/nemotron-cascade-2-30b-a3b - hugging face,
Reference 5
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Observation 4223c188-4e34-4ad0-9152-6444406b1e12 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks google/gemma-4-31b-it - hugging face,
Reference 6
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Observation 22efd49b-0d6e-4073-93b4-681fb061d101 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks microsoft/harrier-oss-v1-0.6b - hugging face,
Reference 7
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Observation 747f71a9-522a-468a-a9b4-ea267f769e85 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks openai/gpt-oss-120b - hugging face,
Reference 8
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Observation 56e11e20-98bc-4414-8737-f2fbc4e34308 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks [Online]
Reference 9
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Observation 8b6fa409-d1c0-43a9-83bd-5592b03d0745 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Data scientists targeted by malicious hugging face ml models with silent backdoor,
Reference 10
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Observation 5c8cc722-3874-4a1b-8122-bb964bedc8d5 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Models are codes: Towards measuring malicious code poisoning attacks on pre-trained model hubs,
Reference 11
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Observation 319abae0-f1a3-4820-aee5-9930b2e825ea · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Third-party scanner: Jfrog,
Reference 12
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Observation 6c4f80cb-4ea4-4aa6-b44b-e6890312526e · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks third-party scanner: protect ai,
Reference 13
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Observation e7becbb0-4d01-43bb-a65e-fdf28873428f · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks pickle scanning (hub documentation),
Reference 14
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Observation 6f42939d-e4ec-4b0b-81cc-e638829d2195 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Hugging face and virustotal collaborate to strengthen ai security,
Reference 15
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Observation 8f5e7171-cec4-47cc-a9cf-c6d0a71a9b01 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Gentel - home,
Reference 16
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Observation 1bab09cc-e0fe-4892-ac54-2a2f46b5a60d · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Opencsg - gentel example,
Reference 17
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Observation 4702497d-999b-42a1-993a-b9c7f636a464 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Malicious ml models discovered on hugging face platform - reversinglabs,
Reference 18
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Observation 63f68c1d-733f-47e4-a6ce-571ad899fda2 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks 4m models scanned: Protect ai + hugging face 6 months in,
Reference 19
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Unavailable: canonical work link unavailable.
Observation 0839cc4f-7c5e-4685-a27a-29b38abc3be4 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks New hugging face vulnerability exposes ai models to supply chain attacks,
Reference 20
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Observation b956acbf-faac-41f9-8898-7c6ffbf3a753 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Over 100 malicious ai/ml models found on hugging face platform,
Reference 21
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Observation 2fed1bb0-caa6-40fd-a107-b46fe5d68d02 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Malicious ml models on hugging face leverage broken pickle format to evade detection,
Reference 22
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Observation b449cfb2-2b28-42ce-b244-cfa52a17e419 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Montalbano, https://www.darkreading.com/application-security/hugg ing-face-ai-platform-100-malicious-code-execution-models, Feb 2024
Reference 23
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Observation 35ee187d-367c-441d-83ba-1e685cb1947f · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Malicious AI Models on Hugging Face Exploit Novel A ttack Technique,
Reference 24
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Observation f3dc4bf0-c1bc-45f2-85c7-c640cfbfa57f · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Federal Register :: Request Access,
Reference 25
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Observation 6a67299c-50e7-4d1d-92de-cebe6156b954 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks cve.org,
Reference 26
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Observation 28c8b31d-0526-4b30-91fa-103d499fd6cd · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Pickleball: Secure deserialization of pickle-based machine learning models (extended report),
Reference 27
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Observation 70ac1f57-73a5-4e00-8eac-3d37e71aa330 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks How to make hugging face to hug worms: Discovering and exploiting unsafe pickle.loads over pre-trained large model hubs - blackhat asia 2024,
Reference 28
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Observation 844b3273-6508-4e71-a5d3-a7c69ad07e81 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks coldwaterq/sectest - model card,
Reference 29
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Observation f99c6456-ae88-4521-b942-ca6b4018cdb8 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks zpbrent/reuse - model card,
Reference 30
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Observation aa0daeb5-56d7-41bd-a796-603606263552 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks The Art of Hide and Seek: Making Pickle-Based Model Supply Chain Poisoning Stealthy Again
Reference 31
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Observation fd23ad54-185a-42de-bb37-c60e4f21fc18 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Backdooring pickles: A decade only made things worse - defcon 30,
Reference 32
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Observation a09626da-0e74-47cc-8bf5-2f4612cecf5e · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Sour pickles - blackhat us 2011,
Reference 33
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Observation 22965169-f133-46b6-9339-3e35f41320ea · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Cwe - cwe-502: Deserialization of untrusted data (4.20),
Reference 34
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Observation 8f041be5-e4b1-45c7-8174-9e24883bc11c · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks flawed.net.nz — flawed.net.nz,
Reference 35
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Observation c62d8aeb-11ed-4b83-9c34-b253c8077525 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Secure pypi? the problem with trusting open source reposi- tories — activestate.com,
Reference 36
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Observation 5d32bdd3-6ee1-40fb-9aab-f53177984280 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Cwe - cwe-1395: Dependency on vulnerable third-party component (4.20),
Reference 37
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Observation a5264b62-abf4-46af-ac4d-d6f1c70ca531 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Cwe - cwe-183: Permissive list of allowed inputs (4.20),
Reference 38
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Unavailable: canonical work link unavailable.
Observation 4e30de34-2a8b-458d-8406-a98b42c395ed · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Cwe - cwe-184: Incomplete list of disallowed inputs (4.20),
Reference 39
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Observation 73189794-b6a1-4b39-af6a-5b883ddcb3ed · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks weights only unpickler.py – pytorch,
Reference 40
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Observation 387c2dc7-e00f-4041-b9e1-d9a6827a0cd2 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Zollllldont download this2 - model card,
Reference 41
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Observation 2141c251-faec-40af-b5d3-17bb3e0170e3 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks “dont download this
Reference 42
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Observation a0eec29c-3747-497b-8000-e351109dbf53 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks picklescan: Security scanner detecting python pickle files performing suspicious actions,
Reference 43
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Observation 123db4fe-8f4f-4b39-baeb-f473081d3753 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Modelscan: Protection against model serialization attacks,
Reference 44
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Observation 788e046b-46af-4838-a942-57e1876bf66b · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models
Reference 45
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Observation 47a9acd4-b60a-406c-bcb7-b351c3497136 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks pickletools - tools for pickle developers - docs.python.org,
Reference 46
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Observation 4dbbb40c-1025-4385-b5a4-ea4a22f7e2e2 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks zlib — compression compatible with gzip - docs.python.org,
Reference 47
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Observation 4332b548-40eb-44ff-8647-de5df7595b8a · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Fickling: A python pickling decompiler and static analyzer,
Reference 48
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Observation 1fdaa360-8e71-457c-bd8d-5c6df8181065 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Unresolved cited work
Reference 49
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Observation 5d30dfb9-bf8a-40d3-ad43-b25a07df1582 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks CPython: The python programming language,
Reference 50
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Observation 24392e3a-795f-4800-a528-383bcfe9b598 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Dont download this - opencsg - model card,
Reference 51
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Observation 7b04ec25-d43d-4182-a703-70a8ca6f19b3 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks The python package index — pypi.org,
Reference 52
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Observation 3d2d9b78-38e2-4387-84ba-05eb33e4f632 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Moduleguard: Understanding and detecting module conflicts in python ecosystem,
Reference 53
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Observation 36fd50d1-2f57-4886-96c3-a4a4c52a7213 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Reference for ultralytics/utils/patches.py — docs.ultralytics.com,
Reference 54
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Observation 0a5ac124-b40e-42ec-b819-79581dc5d1c1 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Synthyraesm2-8m hugging face - huggingface.co,
Reference 55
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Observation 0eb9cd87-2263-4ac7-80fa-36c9f942f744 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Full text search - hugging face — huggingface.co,
Reference 56
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Observation 6441c0fa-43bc-4cec-9dc2-f28217d68e91 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks fakespot-ai/roberta-base-ai-text-detection-v1 - hugging face — huggingface.co,
Reference 57
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Observation 3984b5dc-aeca-49f8-a56e-b9d4988dfbb6 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Unresolved cited work
Reference 58
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Observation b27be28b-98b5-4450-974a-cf0a2fd698cd · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Llama3-agentflan-adapter — modelscope.cn,
Reference 59
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Observation 5b23d2e4-5290-48c0-8fed-83b4dc42f2b1 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Github - swisskyrepo/payloadsallthethings: A list of use- ful payloads and bypass for web application security and p entest/ctf — github.com,
Reference 60
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Observation 4bc4f04d-82cd-475c-b4eb-8a08531e1670 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Online - reverse shell generator — revshells.com,
Reference 61
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Observation f1fd5f67-0975-4b83-a75e-def0da941d53 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Adds dataflow analysis, generalizes constant opcodes, and cleans up injection by esultanik · pull request #28 · trailofbits/fickling — github.com,
Reference 62
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Observation 2c25d574-4db3-49f5-91cf-9c39bc6edd25 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Trail of bits — trailofbits.com,
Reference 63
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Observation b469c063-44db-4fa2-a607-bfd9a8dc9a2d · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Welcome to fastai – fastai,
Reference 64
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Observation 74f7578b-e045-4918-a997-4ec08d5e01d0 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Github - columbia/pickleball: Pickleball protects users from dangerous pickle-based ml models — github.com,
Reference 65
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Observation fa859f60-af0b-406a-8785-21e04845831f · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Github - s2e-lab/hf-model-analyzer - modeltracer,
Reference 66
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Observation 260adfa9-02e6-4120-9517-4d8a73692fb1 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Raft - pypi,
Reference 67
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Observation cb1f781d-2d49-4381-889d-26c3f7ca19a2 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Dont download this model - modelscope - model card,
Reference 68
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Observation f9c6e17c-7d8d-4e91-bedf-d179f9bfe996 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Shadowpickle-bench/dont download this - github.com,
Reference 69
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Observation fee03c52-7a55-40db-80f5-c8281c99a6e2 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Github - dashingsoft/pyarmor: A tool used to obfuscate python scripts , bind obfuscated scripts to fixed machine or expire obfus- cated scripts. — github.com,
Reference 70
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Observation b3f79214-8a8d-41ae-aada-c8b7d3d76287 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Github - nyudenkov/pysentry: Scan your python depen- dencies for known security vulnerabilities with rust-powered scanner - github.com,
Reference 71
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Observation 6013a5f3-d46c-4216-855d-fe8cdc428a6b · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Github - splitline/pickora: A toy compiler that can convert python scripts to pickle bytecode,
Reference 72
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Observation df7a2e59-9936-4225-a56b-ea0b06d4fc48 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks Github - security-pride/malhug,
Reference 73
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Observation 26a7b358-4799-4eec-aa52-385bb33bfd3e · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks /bin/bash
Reference 74
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Observation e9daeb42-040c-4fcc-899c-ca99ac5c6657 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks The collected payloads are Pickled into self-contained files, such that they can be directly injected into PyTorch models, as they are both binary data with the same set of opcodes
Reference 75
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Observation a690f43c-2654-45c0-96cd-abb0b5fe9c03 · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks We then edit the memory addresses of the injecting Pickle file to be greater than TABLE XVII: Open-source SOTA’s performance on SHADOWPICKLEvs
Reference 76
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Observation e27e960a-f36e-4cda-874d-be4afda9b60d · outbound
ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks cat /etc/passwd
Reference 77
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No inbound Pith citation observations are available.