Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation | Paper Citation Record

Observation 0ff6a5f7-d099-43b7-993d-ac873a99dab8 · outbound

This paper cites Reference-guided ver- dict: Llms-as-judges in automatic evaluation of free-form text.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Reference-guided ver- dict: Llms-as-judges in automatic evaluation of free-form text

Reference 1

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Observation e16c073f-8f7d-44a4-b9f4-20b48050c655 · outbound

This paper cites Qwen Technical Report.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Qwen Technical Report

Reference 2

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Observation 8ed9183b-c458-4eff-943c-aeab1b085286 · outbound

This paper cites Qwen2.5-vl technical report, 2025.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Qwen2.5-vl technical report, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:20.210391Z

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Observation d28aeb4f-a308-4d4c-aa2b-d3965368af78 · outbound

This paper cites Mind the trojan horse: Image prompt adapter enabling scalable and decep- tive jailbreaking.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Mind the trojan horse: Image prompt adapter enabling scalable and decep- tive jailbreaking

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:31.439134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 66c0c188-e221-428c-89c6-419e70695c42 · outbound

This paper cites Cross-modal causal relation alignment for video question grounding.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Cross-modal causal relation alignment for video question grounding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:31.311137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 291eba03-f8ca-4e32-8383-290a1468cd14 · outbound

This paper cites `Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation `Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:20.679512Z

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Observation ddb8e526-1796-4dcb-b0bc-df01372b2d6c · outbound

This paper cites Automated hate speech detection and the prob- lem of offensive language.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Automated hate speech detection and the prob- lem of offensive language

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:31.155231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b73647cf-4c09-453c-a52e-b06da2025cfb · outbound

This paper cites Adversaflow: Visual red team- ing for large language models with multi-level adversarial flow.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Adversaflow: Visual red team- ing for large language models with multi-level adversarial flow

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:30.943692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5dd2071b-9d0f-4494-a9da-7fb14055249b · outbound

This paper cites BERT: Pre-training of deep bidirectional trans- formers for language understanding.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation BERT: Pre-training of deep bidirectional trans- formers for language understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:21.129340Z

Source-reported events for the cited work

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Observation 1d0e4511-6370-4ab8-b552-78b526a0fc98 · outbound

This paper cites Figstep: Jailbreaking large vision-language models via typo- graphic visual prompts.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Figstep: Jailbreaking large vision-language models via typo- graphic visual prompts

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:30.762839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 03018278-1c7c-4639-adce-5a6329ee0fcc · outbound

This paper cites Agent smith: a single image can jailbreak one million multimodal llm agents exponentially fast.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Agent smith: a single image can jailbreak one million multimodal llm agents exponentially fast

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:30.596842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3226d307-bc2f-41c6-8b47-466275d0936c · outbound

This paper cites Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:09:26.210420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85cf70de-8463-44ab-83dd-6938be8f6a6d · outbound

This paper cites Reassessing Extractive QA Datasets at Scale: LLM-as-a-Judge and In-Depth Analyses.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Reassessing Extractive QA Datasets at Scale: LLM-as-a-Judge and In-Depth Analyses

Reference 13

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Observation f7ff1dbd-f1a1-4405-ac42-2ef80dee1729 · outbound

This paper cites Curiosity-driven Red-teaming for Large Language Models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Curiosity-driven Red-teaming for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:21.745442Z

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Observation 3799aeeb-ca05-4bfd-aff4-9d4345b8f798 · outbound

This paper cites Videojail: Exploiting video-modality vulnerabilities for jail- break attacks on multimodal large language models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Videojail: Exploiting video-modality vulnerabilities for jail- break attacks on multimodal large language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:30.321298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f3453251-37a2-4b02-bc7c-43a2825fee6f · outbound

This paper cites GPT-4o System Card.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation GPT-4o System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:21.874258Z

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Observation 143932b7-7b54-4fbe-a676-f6a160177086 · outbound

This paper cites Playing the fool: Jailbreaking llms and multimodal llms with out-of-distribution strategy.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Playing the fool: Jailbreaking llms and multimodal llms with out-of-distribution strategy

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:30.122424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 77f3739a-8d88-483a-adf3-2f34ef7daae7 · outbound

This paper cites an unresolved cited work.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:09:29.886185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab245714-1a27-4a3d-95bc-c4c9376f8cd0 · outbound

This paper cites Mixtral of Experts.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Mixtral of Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:22.151616Z

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Unavailable: canonical work link unavailable.

Observation 23bfdaf8-b932-4062-b746-684a6ff46bce · outbound

This paper cites Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:22.262209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4fd354b-7b66-47ce-8fce-1aa561f06e9f · outbound

This paper cites The hateful memes challenge: Detecting hate speech in multimodal memes.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation The hateful memes challenge: Detecting hate speech in multimodal memes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:29.633249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26fcdc41-bd95-4bb1-b0d9-aef4fda1bea2 · outbound

This paper cites Learning diverse attacks on large language models for robust red-teaming and safety tuning.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Learning diverse attacks on large language models for robust red-teaming and safety tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:22.585003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d4164c-800a-4cb4-80c1-86a6a3160165 · outbound

This paper cites FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:09:25.713243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f6c3f2bb-6f94-4c4c-9ce0-9d04a072b29f · outbound

This paper cites Red Teaming Visual Language Models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Red Teaming Visual Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:22.747756Z

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Observation 33ef3c8a-7a3e-4d2a-bca0-a74912568c55 · outbound

This paper cites Images are achilles’ heel of alignment: Exploit- ing visual vulnerabilities for jailbreaking multimodal large language models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Images are achilles’ heel of alignment: Exploit- ing visual vulnerabilities for jailbreaking multimodal large language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:29.412453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0329f0b-e3b1-4d21-85ae-fa4993207658 · outbound

This paper cites GroundingGPT: Language en- hanced multi-modal grounding model.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation GroundingGPT: Language en- hanced multi-modal grounding model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:29.191945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7154d59-2136-4e09-a0b6-26e205f80d7e · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:23.005461Z

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Observation d9571e64-afe9-4fd3-a968-abaea2c7befa · outbound

This paper cites Visual instruction tuning, 2023.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Visual instruction tuning, 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:28.904324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ea1be7ab-bb2f-4614-a63e-0968bef7222a · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Prompt Injection attack against LLM-integrated Applications

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:23.315417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018af706-99bd-4699-bd4c-474e63673e0f · outbound

This paper cites Arondight: Red teaming large vision language models with auto-generated multi-modal jailbreak prompts.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Arondight: Red teaming large vision language models with auto-generated multi-modal jailbreak prompts

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:28.643297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6e18b6e-9118-4450-bd3c-723107c9b59d · outbound

This paper cites LLaMA 4: Advancing Multimodal Intelli- gence.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation LLaMA 4: Advancing Multimodal Intelli- gence

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:28.459147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 531a2f32-3929-4b2e-9217-77d748f5e1b7 · outbound

This paper cites Jailbreaking Attack against Multimodal Large Language Model.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Jailbreaking Attack against Multimodal Large Language Model

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:23.717332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcdc0549-e95f-4248-831d-5d17c73f418d · outbound

This paper cites Gpt-4o system card, 2024.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Gpt-4o system card, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:28.219937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b7e1439-2684-4bc1-9960-364cf76dbbd1 · outbound

This paper cites Cross-modal attention congruence regularization for vision-language relation align- ment.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Cross-modal attention congruence regularization for vision-language relation align- ment

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.964083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fac8730f-908b-48c4-93c5-9c6ed93363b0 · outbound

This paper cites Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:24.061030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5539a05b-bf7b-4e23-96a9-bcf4dc4462f3 · outbound

This paper cites On the adversarial robustness of multi-modal foundation models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation On the adversarial robustness of multi-modal foundation models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.713195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19ad089f-5c2d-4bb0-a906-1e0c1954c34e · outbound

This paper cites Gemini: A family of highly capable multi- modal models, 2025.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Gemini: A family of highly capable multi- modal models, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.507691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 738711b2-8710-4033-9fec-60cc76de8881 · outbound

This paper cites Gemma 3 technical report, 2025.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Gemma 3 technical report, 2025

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.281820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce20cddb-4b6f-4e99-9e13-e06abfd1f244 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation LLaMA: Open and Efficient Foundation Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:24.373479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807d9dd6-23a9-47e5-8aa9-fa257b9aedaf · outbound

This paper cites Stop reasoning! when multimodal llm with chain-of-thought rea- soning meets adversarial image, 2024.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Stop reasoning! when multimodal llm with chain-of-thought rea- soning meets adversarial image, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.092656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c0cf09f-e4bb-4809-83e5-b7bffefece4f · outbound

This paper cites Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:09:25.245696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 07a803cf-9713-49e5-ae02-241870041023 · outbound

This paper cites Distraction is all you need for multimodal large language model jailbreaking.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Distraction is all you need for multimodal large language model jailbreaking

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:26.829247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8bdb0029-ddc9-4f19-9bd5-1ce547d883c3 · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:24.745035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f244aa-ebae-4ab8-ac21-295c9395e1d8 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:24.806832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1612cb63-f7b3-4493-b43e-c44ffd16bb53 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:24.884191Z

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