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Paper Citation Record · LEDGER

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation

As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.28187.

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

pith.paper-citation-record.v1
2607.28187 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T15:15:03.242534Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved47
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c0ad3c2-ce13-41db-9a34-64349cb1964e · outbound

This paper cites Proceedings of the 26th international symposium on research in attacks, intrusions and defenses , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 26th international symposium on research in attacks, intrusions and defenses , pages=

Reference 1

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no resolver link, observed 2026-07-31T15:14:59.597543Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:14:59.597543Z digest=sha256:8c06314a8cb0f2270e2d406f9077d9ce5190f5b87974f3f0d703351ed62adf16

Observation bc7c400c-fbdc-4509-a993-d582dd6032d4 · outbound

This paper cites 2024 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2024 , howpublished =

Reference 2

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no resolver link, observed 2026-07-31T15:14:59.664307Z

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source=arxiv_source observed=2026-07-31T15:14:59.664307Z digest=sha256:3c39d38d2695a608ca9d8814240eb414af2cc8c61c96309581a0b8a47d1f78b9

Observation f76ecee7-cc86-4dc6-9232-56274e0cbeab · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 3

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no resolver link, observed 2026-07-31T15:14:59.773901Z

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source=arxiv_source observed=2026-07-31T15:14:59.773901Z digest=sha256:7ef39b33c83e5cf4a33788800a62630829da5b987ab04eff85aa61f5d3a4c495

Observation 7121c3f6-b945-4830-ab32-70c74331e85e · outbound

This paper cites Intriguing properties of neural networks.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Intriguing properties of neural networks

Reference 4

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source=arxiv_source observed=2026-07-31T15:14:59.930340Z digest=sha256:efc8f0a24e66eba7ba3b2fbfb02e76da457454796038b689aa900d04f41b10dd

Observation 2e9913d2-01ad-4527-9145-833e04865e21 · outbound

This paper cites International Conference on Learning Representations , year =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Learning Representations , year =

Reference 5

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no resolver link, observed 2026-07-31T15:15:00.025188Z

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source=arxiv_source observed=2026-07-31T15:15:00.025188Z digest=sha256:c3ec0dd7e1c8350c2dbd5a30e1792c9c91b2276d894dd6dbc28fae8f42891b75

Observation 63407ed0-5364-4fa7-9ade-eb9601978f32 · outbound

This paper cites International Conference on Learning Representations , year =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Learning Representations , year =

Reference 6

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no resolver link, observed 2026-07-31T15:15:00.144555Z

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source=arxiv_source observed=2026-07-31T15:15:00.144555Z digest=sha256:231e4bc25a29078fd041302a6ad23130467666860f6de06d0f11006dad6bef96

Observation 5f2bc48f-78f1-4265-9716-081ead3ef9ca · outbound

This paper cites Proceedings of the 2017 ACM on Asia conference on computer and communications security , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 2017 ACM on Asia conference on computer and communications security , pages=

Reference 7

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source=arxiv_source observed=2026-07-31T15:15:00.246574Z digest=sha256:863e1a13286fcc70f85634e74b136e5cfb374f33c254fb4df2654296fcc06066

Observation 923f561f-bbc3-45f3-880a-6dd448144ee5 · outbound

This paper cites 2025 , organization=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2025 , organization=

Reference 8

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no resolver link, observed 2026-07-31T15:15:00.378305Z

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source=arxiv_source observed=2026-07-31T15:15:00.378305Z digest=sha256:3e2179648021c9ee67b77d8032248986239ae1a4a03b0e1f882d654d6a4871b5

Observation 5673c47e-07db-4d0c-b95e-e71eb08c7ba2 · outbound

This paper cites International Conference on Learning Representations , year =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Learning Representations , year =

Reference 9

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source=arxiv_source observed=2026-07-31T15:15:00.454260Z digest=sha256:c8bdd6bec5b48b9f9c42370e0e90af8558807d5d5bf53dfc15e9d2a2a36393fa

Observation bd2b2e95-7f9f-449e-82d9-99864824dd9b · outbound

This paper cites Proceedings of the 40th international conference on software engineering , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 40th international conference on software engineering , pages=

Reference 10

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source=arxiv_source observed=2026-07-31T15:15:00.602895Z digest=sha256:877c433a9931f5657adaa28ab18d2d4614e8c3dbad7884ccfd545a394f8dfe72

Observation 44ae0405-5fa1-4c7b-b72e-bd578b8ec941 · outbound

This paper cites International conference on learning representations , volume=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International conference on learning representations , volume=

Reference 11

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source=arxiv_source observed=2026-07-31T15:15:00.742662Z digest=sha256:9d5d857fade4be452c318822fc13f3089622ee7b8ec203d4a10b74eb930a95ee

Observation d0f624a0-f3ec-47f7-bc27-327f3ceefe4f · outbound

This paper cites International Conference on Machine Learning , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Machine Learning , pages=

Reference 12

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no resolver link, observed 2026-07-31T15:15:00.818574Z

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source=arxiv_source observed=2026-07-31T15:15:00.818574Z digest=sha256:fc0552d15fc4f35b77f6d166bc9179972ffbb9b729eff47826033ebd87b0c424

Observation 626b51a7-055f-473a-9813-9e1fbe7e5a9a · outbound

This paper cites International Conference on Learning Representations , year =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Learning Representations , year =

Reference 13

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no resolver link, observed 2026-07-31T15:15:00.972380Z

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source=arxiv_source observed=2026-07-31T15:15:00.972380Z digest=sha256:d1c457f2495816b4961f04effc80977792fba2e45496f98df2219373396202ba

Observation d90fbf42-7557-4ba6-9de9-3bf6e3f41867 · outbound

This paper cites Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems , pages=

Reference 14

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no resolver link, observed 2026-07-31T15:15:01.011630Z

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source=arxiv_source observed=2026-07-31T15:15:01.011630Z digest=sha256:a35c153eaaf047195a3f2f3504581660d9d99d8b1bbe00c22579dd61b572821e

Observation d367f544-0ea9-40ed-b35c-e56987e75294 · outbound

This paper cites an unresolved cited work.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work

Reference 15

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no resolver link, observed 2026-07-31T15:15:01.162805Z

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source=arxiv_source observed=2026-07-31T15:15:01.162805Z digest=sha256:4b2c14f10dba492c2f6962a8d5839997a9291c428b24c951c56ba6d985338381

Observation 37172ff4-17a5-4710-a802-65f27e690df0 · outbound

This paper cites ShieldGemma 2: Robust and Tractable Image Content Moderation.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation ShieldGemma 2: Robust and Tractable Image Content Moderation

Reference 16

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source=arxiv_source observed=2026-07-31T15:15:01.267197Z digest=sha256:b97c904d23dbc71445faf806f5c9ae11574d93dec7df8b4ca09fe58f9aadadf7

Observation 7c0c8cd9-742f-4f88-ba43-eb5cbefd3ea3 · outbound

This paper cites IEEE Transactions on Information Forensics and Security , year=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation IEEE Transactions on Information Forensics and Security , year=

Reference 17

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no resolver link, observed 2026-07-31T15:15:01.431349Z

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source=arxiv_source observed=2026-07-31T15:15:01.431349Z digest=sha256:4a28f6862c0194ed19727eb7cfbec39e8bec8d710bc04efa4857c69e6b335cf4

Observation e9ebd1ef-9178-4b31-a2ea-a388d638eaff · outbound

This paper cites What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks

Reference 18

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no resolver link, observed 2026-07-31T15:15:01.545451Z

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source=arxiv_source observed=2026-07-31T15:15:01.545451Z digest=sha256:9dfa41e9f1cf1e7fdd69503f3ea54e365e3c229656e57216c5b7c1dd0992257a

Observation 90cd0df6-6979-4c38-b4ba-3de86a23e15b · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Findings of the Association for Computational Linguistics: ACL 2026 , pages=

Reference 19

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no resolver link, observed 2026-07-31T15:15:01.690848Z

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source=arxiv_source observed=2026-07-31T15:15:01.690848Z digest=sha256:da68b7f05e212ee1360b93941ff35863099598efb01cc8c3257c3c586f8f1297

Observation 90238e9c-4aae-4710-89b3-09542a0540fb · outbound

This paper cites Proceedings of the 11th ACM workshop on artificial intelligence and security , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 11th ACM workshop on artificial intelligence and security , pages=

Reference 20

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no resolver link, observed 2026-07-31T15:15:01.812316Z

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source=arxiv_source observed=2026-07-31T15:15:01.812316Z digest=sha256:45f57f273a87e034bb174ed9f64c06594fe241a2c6da679c2374093036c6eaa2

Observation f944af5a-c582-4db4-80f4-3c590ca40268 · outbound

This paper cites 2018 , publisher=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2018 , publisher=

Reference 21

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no resolver link, observed 2026-07-31T15:15:01.938912Z

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source=arxiv_source observed=2026-07-31T15:15:01.938912Z digest=sha256:007c93e05898bf595621764b0b793de2058913e3bfc58564dfbd3506509449d6

Observation f805b203-6e5d-44f6-95ce-1480f75e8e19 · outbound

This paper cites 2019 , publisher=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2019 , publisher=

Reference 22

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no resolver link, observed 2026-07-31T15:15:02.030740Z

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source=arxiv_source observed=2026-07-31T15:15:02.030740Z digest=sha256:485fb1f02395ce55b96861de5f512e33037a277d8cf7c7763cf5030389d52c0e

Observation 2d21b154-33aa-4206-bb17-4203c5c11628 · outbound

This paper cites an unresolved cited work.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work

Reference 23

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no resolver link, observed 2026-07-31T15:15:02.139837Z

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source=arxiv_source observed=2026-07-31T15:15:02.139837Z digest=sha256:6d93fee7817d47fc846fe6b69eb50e414b614d3a030e54bde34bd5ddd3066a02

Observation edc9d514-2de8-418d-aa22-789037244410 · outbound

This paper cites International Journal of Data Science and Analytics , volume=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Journal of Data Science and Analytics , volume=

Reference 24

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source=arxiv_source observed=2026-07-31T15:15:02.257546Z digest=sha256:24e00b60d753255cdb5563dd30ca9f67ce8abb1b221be5bfc1269772c52e5f38

Observation fa79a32b-313c-4f90-a3a9-bcb4a38fc552 · outbound

This paper cites an unresolved cited work.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-07-31T15:15:02.407411Z digest=sha256:73bd0a83ef17f5b3368d6f64cec3101bd3b1191c827a94af2dc1b824cb576afe

Observation 271c641b-5ef2-4866-af38-07ff9cb49d4e · outbound

This paper cites Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021) , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021) , pages=

Reference 26

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source=arxiv_source observed=2026-07-31T15:15:02.544862Z digest=sha256:20956a22395c2333595445234421697ee738d58eda8d439e643c4b225e4b12da

Observation e945299a-4a91-4660-89f9-b62898d48460 · outbound

This paper cites Findings of the association for computational linguistics: EMNLP 2021 , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Findings of the association for computational linguistics: EMNLP 2021 , pages=

Reference 27

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source=arxiv_source observed=2026-07-31T15:15:02.648790Z digest=sha256:285e7c1ef265dcafe905f3fc00cecab124bef5d3604145168aa6e71eb6108616

Observation aef14896-becf-4447-8e4c-a68948aa4f57 · outbound

This paper cites 2021 International Joint Conference on Neural Networks (IJCNN) , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2021 International Joint Conference on Neural Networks (IJCNN) , pages=

Reference 28

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no resolver link, observed 2026-07-31T15:15:02.703948Z

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source=arxiv_source observed=2026-07-31T15:15:02.703948Z digest=sha256:f1861838a96bc67440a1fcf88cbab3ddc4178a2e712f99c87237985aa048ccb5

Observation 0c2b40b6-4f95-48f7-80c6-7db53c1ac022 · outbound

This paper cites 2022 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2022 , howpublished =

Reference 29

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source=arxiv_source observed=2026-07-31T15:15:02.783091Z digest=sha256:a63a414c26568542864309414d62509d4ea1708b1f6199fda837bf50d6edf265

Observation fa97436d-cc72-4efe-bb2d-a97dcd2c7095 · outbound

This paper cites 2016 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2016 , howpublished =

Reference 30

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no resolver link, observed 2026-07-31T15:15:02.861554Z

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source=arxiv_source observed=2026-07-31T15:15:02.861554Z digest=sha256:cbb6bf2f0f324304f5331431973bc198bde762b0f5683699fe9c06935d2d930a

Observation 9f416435-7ca4-45d0-9952-6af0f5aee9ff · outbound

This paper cites 2026 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2026 , howpublished =

Reference 31

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no resolver link, observed 2026-07-31T15:15:02.939037Z

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source=arxiv_source observed=2026-07-31T15:15:02.939037Z digest=sha256:ae24cef9cf2b10429b0b005797746da00f9da1934687af4a534684e893afadaf

Observation 30afa3b3-752c-44d0-903b-feb725c79b8b · outbound

This paper cites Advances in neural information processing systems , volume=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Advances in neural information processing systems , volume=

Reference 32

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no resolver link, observed 2026-07-31T15:15:03.017564Z

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source=arxiv_source observed=2026-07-31T15:15:03.017564Z digest=sha256:4e9cdcfe41d8cd3e6b77809fecec9f64df9cc9f9f0e5a8ab9e23401a131bf8d3

Observation 1c24da59-05c3-41f3-a93a-5c705bf5662f · outbound

This paper cites Detecting Hate Speech in Multi-modal Memes.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Detecting Hate Speech in Multi-modal Memes

Reference 33

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source=arxiv_source observed=2026-07-31T15:15:03.094217Z digest=sha256:c03ac98665d1713ea6e24843c94928391178bed5969c12b668655e7e61e78c46

Observation 954d8c01-332f-47bf-a7aa-ae86c8ec2852 · outbound

This paper cites an unresolved cited work.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work

Reference 34

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no resolver link, observed 2026-07-31T15:15:03.146996Z

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source=arxiv_source observed=2026-07-31T15:15:03.146996Z digest=sha256:bb0a82883511e0869133afe0e729b6834f47c025aaabdabdeac5dbac5a39409e

Observation fe1426a3-41c5-4977-920b-7ea587be46f6 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 35

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source=arxiv_source observed=2026-07-31T15:15:03.202300Z digest=sha256:0a1ec537385728035dafdf835af6a65208686e4355bb2081aa2f34ff3fa2538b

Observation c95b137d-2ede-4821-8055-60d58f54a984 · outbound

This paper cites ShieldGemma: Generative AI Content Moderation Based on Gemma.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 36

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no resolver link, observed 2026-07-31T15:15:03.206134Z

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source=arxiv_source observed=2026-07-31T15:15:03.206134Z digest=sha256:7e6a3d23e4d34efe00f082e73ec8cb54a7d2ebcb627b8c6b5364a4e8e6bcf48d

Observation dcf06d5a-79bf-4260-b9e3-9bccfb5bc392 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 37

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source=arxiv_source observed=2026-07-31T15:15:03.209775Z digest=sha256:2a4efd3e00f4fc34de01b2a9b0e024622fd715c8a833235a19074374e7b5e988

Observation e74bf86b-fdad-4a84-a277-02e07d87a206 · outbound

This paper cites International Journal of Intelligent Engineering and Systems , volume=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Journal of Intelligent Engineering and Systems , volume=

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.212607Z digest=sha256:b8dcb5c957521e5f78394b6183416259d1b206dcbfac241625e53191931f1402

Observation 8abdbf6f-dc70-452e-b868-5aeecb6557b9 · outbound

This paper cites IEEE transactions on image processing , volume=.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation IEEE transactions on image processing , volume=

Reference 39

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unresolved
no resolver link, observed 2026-07-31T15:15:03.215360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.215360Z digest=sha256:b76b0f3f576598d1577defcc619aa70702b8909f8886db31405777ad4fb96bb9

Observation b1a3d89a-a00a-43e4-a081-795a6f985279 · outbound

This paper cites 2024 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2024 , howpublished =

Reference 40

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unresolved
no resolver link, observed 2026-07-31T15:15:03.218576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.218576Z digest=sha256:6b2ff350f537a14a09444fa445bdc32a7e34cfc1d68ad3d2248cd5c42b84e396

Observation 776a378f-7302-43ad-a174-3f9146b7aa4e · outbound

This paper cites 2021 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2021 , howpublished =

Reference 41

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unresolved
no resolver link, observed 2026-07-31T15:15:03.222016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.222016Z digest=sha256:b27273600fd2b878a8072919ca96019e9fe3d04c2336bbbca7b2a1aeca7bf661

Observation 0130b9d3-c05c-4a35-81c8-ffa2fb0d7ee4 · outbound

This paper cites 2022 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2022 , howpublished =

Reference 42

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unresolved
no resolver link, observed 2026-07-31T15:15:03.224944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.224944Z digest=sha256:0772fe306ab49408e5a8659a7b375e3dbfd4966814fb715ea9760aaa8a6eb2e8

Observation f9e2b65e-b400-4752-b526-21309f821a12 · outbound

This paper cites 2023 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2023 , howpublished =

Reference 43

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unresolved
no resolver link, observed 2026-07-31T15:15:03.227980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.227980Z digest=sha256:29111944d063f9096eddfb0d5f0032d15ebc004eac8a5abee00fe011ff585a15

Observation b2931cd7-114f-4df3-828e-c438dffb0a31 · outbound

This paper cites The Thirty-Seventh Asilomar Conference on Signals, Systems & Computers , volume =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation The Thirty-Seventh Asilomar Conference on Signals, Systems & Computers , volume =

Reference 44

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unresolved
no resolver link, observed 2026-07-31T15:15:03.230905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.230905Z digest=sha256:563bef22c0409d99e4c23a9591dcf4130855761f449dd3d4cafd507d52fb5d33

Observation e27c4e7d-4955-4905-a61e-fe38fdb94787 · outbound

This paper cites an unresolved cited work.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work

Reference 45

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parse uncertain
no resolver link, observed 2026-07-31T15:15:03.234009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.234009Z digest=sha256:9eb70839c7a1e038a508ad1a0a0d53a9dd8360279164f07fd6bdcebbdbca91e2

Observation 62721916-8098-4244-898b-65f8fd1461ee · outbound

This paper cites 2026 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2026 , howpublished =

Reference 46

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unresolved
no resolver link, observed 2026-07-31T15:15:03.236909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.236909Z digest=sha256:46d15d3365a031f6a6446bac1c00cf4d762f4ff28136b52aeeb231fc74076ad5

Observation 7ab07050-9724-41fa-90aa-17b1dd63ba55 · outbound

This paper cites 2026 , howpublished =.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2026 , howpublished =

Reference 47

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unresolved
no resolver link, observed 2026-07-31T15:15:03.239654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.239654Z digest=sha256:7b37fd7cd91281c7e4300742344280d015009181ffd316222d264b8dd2d69951

Observation a15394c0-004d-4f51-80a4-43e0c54f59db · outbound

This paper cites LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 48

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unresolved
no resolver link, observed 2026-07-31T15:15:03.242534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T15:15:03.242534Z digest=sha256:7acc53f726d41f91c83bd97d3a78f3d968fab801a0cbd074f728b6958595472e

Pith citing papers

No inbound Pith citation observations are available.