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Paper Citation Record · LEDGER

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models

As of 8 August 2026, this Paper Citation Record lists 100 of 152 outbound references and 0 inbound Pith citation observations for arXiv:2506.11521.

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

pith.paper-citation-record.v1
2506.11521 v1

Coverage vector

measured 100 of 152 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:51.301073Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

100 of 152 outbound references displayed

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  • verified fuzzy7
  • unresolved91
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 5e952512-06f4-49e2-9de6-ac5ce587f6f9 · outbound

This paper cites Universal Adversarial Audio Perturbations.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Universal Adversarial Audio Perturbations

Reference 1

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Observation 9b7da6f6-ad7c-4d4a-bdd0-1c292a3e9522 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2

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Observation b55b5ceb-9f6c-4ac1-bdf2-60f29b74de3b · outbound

This paper cites Hidden in Plain Sound: Environmental Backdoor Poisoning Attacks on Whisper, and Mitigations.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Hidden in Plain Sound: Environmental Backdoor Poisoning Attacks on Whisper, and Mitigations

Reference 3

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Observation 318636c2-a7bf-4b68-ba51-1e38d3db008f · outbound

This paper cites PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking

Reference 4

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Observation 44ce4569-1c38-41ab-adf6-acee26fbd9f0 · outbound

This paper cites VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion

Reference 5

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Observation 355d0e65-7334-4584-b312-2e8d30152b3f · outbound

This paper cites IEEE Transactions on Information Forensics and Security (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security (2024)

Reference 6

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Observation b27245b2-2c32-4b15-84ea-a21400d4c775 · outbound

This paper cites In: Proceedings of the 32nd ACM International Conference on Multimedia.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 32nd ACM International Conference on Multimedia

Reference 7

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Observation 0878f066-c649-4ab4-9d19-87a716fd2279 · outbound

This paper cites In: 2018 IEEE Security and Privacy Workshops (SPW).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2018 IEEE Security and Privacy Workshops (SPW)

Reference 8

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Observation fee1c427-7052-42c7-b2a1-fb5fbfed5558 · outbound

This paper cites In: 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)

Reference 9

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Observation c32ef755-93b0-4c2e-947d-7bb3e8d9ed82 · outbound

This paper cites IEEE Transactions on Dependable and Secure Computing 20(5), 3970--3987 (2022).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Dependable and Secure Computing 20(5), 3970--3987 (2022)

Reference 10

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Observation b9be7ab8-5a0f-4842-879b-62fd33a52994 · outbound

This paper cites IEEE Transactions on Artificial Intelligence 5(3), 1302--1315 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Artificial Intelligence 5(3), 1302--1315 (2023)

Reference 11

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Observation 607467dc-f261-44ee-b0e1-dac88c699cbe · outbound

This paper cites IEEE Transactions on Information Forensics and Security 19, 1948--1962 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security 19, 1948--1962 (2023)

Reference 12

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Observation 6214a4b2-9b11-4e29-abed-47fb76249a42 · outbound

This paper cites In: 33rd USENIX Security Symposium (USENIX Security 24).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 33rd USENIX Security Symposium (USENIX Security 24)

Reference 13

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Observation ec0f9b06-1e5c-43ae-a75c-e588f5122558 · outbound

This paper cites In: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems

Reference 14

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Observation 3431307c-3255-4416-825c-5f647d38037c · outbound

This paper cites In: GLOBECOM 2023-2023 IEEE Global Communications Conference.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: GLOBECOM 2023-2023 IEEE Global Communications Conference

Reference 15

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Observation 7a927cdd-3d43-49d9-9e34-6ed4a6b20171 · outbound

This paper cites In: Proceedings of the 2024 IEEE Symposium on Security and Privacy (SP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2024 IEEE Symposium on Security and Privacy (SP)

Reference 16

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Observation bddcb2d1-6623-495c-847a-f16d3b00510d · outbound

This paper cites arXiv e-prints pp.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models arXiv e-prints pp

Reference 17

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Observation 53b78c3a-a580-4c14-b420-0f221f6340b5 · outbound

This paper cites IEEE Access (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Access (2024)

Reference 18

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Observation f4547e9d-2bed-49f3-a872-041039dcc0f2 · outbound

This paper cites JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs

Reference 19

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Observation 47f582de-623e-464d-9255-91524af0766a · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 20

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Observation 173b68c9-8d8c-4a04-b2f4-e0cc2d0d3a1a · outbound

This paper cites In: Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis

Reference 21

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This paper cites IEEE Transactions on Multimedia 24, 4381--4393 (2021).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Multimedia 24, 4381--4393 (2021)

Reference 22

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Observation 463197eb-0308-4daa-a202-89406c10ae8b · outbound

This paper cites In: Proceedings of the 28th ACM International Conference on Multimedia.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 28th ACM International Conference on Multimedia

Reference 23

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Observation bbff3175-7dac-4696-a64c-9c67ac1646bd · outbound

This paper cites Artificial Intelligence Review 57(8), 218 (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Artificial Intelligence Review 57(8), 218 (2024)

Reference 24

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This paper cites IEEE Transactions on Information Forensics and Security 15, 2147--2159 (2019).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security 15, 2147--2159 (2019)

Reference 25

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This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 26

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Observation e126c8f2-566c-47c3-9288-144e851cf9d3 · outbound

This paper cites In: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Reference 27

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Observation ed728d43-5090-4ba5-8b54-d8c969031c0b · outbound

This paper cites Transferable Adversarial Attacks on Audio Deepfake Detection.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Transferable Adversarial Attacks on Audio Deepfake Detection

Reference 28

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This paper cites In: Proceedings of the 35th annual computer security applications conference.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 35th annual computer security applications conference

Reference 29

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This paper cites IEEE Transactions on Information Forensics and Security 18, 3647--3661 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security 18, 3647--3661 (2023)

Reference 30

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Observation d4ee8b6a-cc3e-44d0-91c6-6ca6343ad4a3 · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE/ACM Transactions on Audio, Speech, and Language Processing (2024)

Reference 31

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Observation 68f424fc-2a85-4efd-9fcd-51904d61f2ee · outbound

This paper cites In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)

Reference 32

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Observation aeb30bbc-ef60-4d39-8ce7-fb9da29e5bdf · outbound

This paper cites IEEE Transactions on Dependable and Secure Computing 21(4), 2672--2685 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Dependable and Secure Computing 21(4), 2672--2685 (2023)

Reference 33

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This paper cites Cybersecurity 6(1), 40 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Cybersecurity 6(1), 40 (2023)

Reference 34

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Observation a4854631-1060-4317-b052-5ae65ef6ea65 · outbound

This paper cites In: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking

Reference 35

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Observation 7af3a5bf-0946-4f01-bddd-d9e2eb373159 · outbound

This paper cites In: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses

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Observation 2ea960d1-5eb9-4a53-989a-f82166146847 · outbound

This paper cites In: Proceedings of the 2022 ACM SIGSAC conference on computer and communications security.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2022 ACM SIGSAC conference on computer and communications security

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Observation 120fea50-dc99-414f-bb87-b914e55d8ab7 · outbound

This paper cites "I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models "I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models

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Observation 9f941cca-e5de-4d73-924a-e428c79ae61b · outbound

This paper cites In: 2024 IEEE Symposium on Security and Privacy (SP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2024 IEEE Symposium on Security and Privacy (SP)

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Observation d634e038-146e-421e-a752-34d4af56e769 · outbound

This paper cites In: ICLR 2025 Workshop on Building Trust in Language Models and Applications (2025).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: ICLR 2025 Workshop on Building Trust in Language Models and Applications (2025)

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Observation 0cefc9d9-cc4c-44a8-9d73-958143505daa · outbound

This paper cites arXiv preprint arXiv:2501.01042 (2025).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models arXiv preprint arXiv:2501.01042 (2025)

Reference 41

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Observation f0dc3f90-d83f-4cc1-860c-a87f36c1f26d · outbound

This paper cites Best-of-N Jailbreaking.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Best-of-N Jailbreaking

Reference 42

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Observation c1dfec7b-25da-493f-a4ec-76c38910629f · outbound

This paper cites GPT-4o System Card.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models GPT-4o System Card

Reference 43

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Observation 657ece98-18a4-4449-9ad9-097452ec2bfc · outbound

This paper cites In: 30th USENIX security symposium (USENIX Security 21).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 30th USENIX security symposium (USENIX Security 21)

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Observation 87da802d-409b-40cb-8ea7-64996e083ef5 · outbound

This paper cites Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education

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Observation 74bbc964-610f-4178-ae91-057b95f65a72 · outbound

This paper cites arXiv preprint arXiv:2505.17050 (2025).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models arXiv preprint arXiv:2505.17050 (2025)

Reference 46

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Observation 28642d42-04d4-45e4-93ed-7b240ea91785 · outbound

This paper cites arXiv preprint arXiv:2505.11217 (2025).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models arXiv preprint arXiv:2505.11217 (2025)

Reference 47

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Observation b87ef506-ae75-460b-bde4-d990cdd1abcd · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: The Thirteenth International Conference on Learning Representations (2024)

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Observation 0d22ca27-9e2c-4efe-8a36-f47720eeb93f · outbound

This paper cites In: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning

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Observation 9193f74b-dc97-4404-8e57-1f8f9afa5a30 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 50

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Observation 980ec995-2982-4563-ac17-9e47776132f3 · outbound

This paper cites Information Fusion p.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Information Fusion p

Reference 51

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Observation 58e9423f-aecd-49ea-a89f-33a37194893b · outbound

This paper cites Pattern Recognition 137, 109286 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Pattern Recognition 137, 109286 (2023)

Reference 52

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Observation 07a1f99d-bb97-407a-b681-d72fece32f4a · outbound

This paper cites Computers & Security 128, 103168 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Computers & Security 128, 103168 (2023)

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Observation 26e7266b-2266-47db-90b8-d2a660cb2fba · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 54

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Observation fc78995d-b06c-4631-bd18-43b590c742f6 · outbound

This paper cites In: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning

Reference 55

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Observation 2d5cc2b7-14ae-4c96-87ee-8a559139a1e7 · outbound

This paper cites In: Proc.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proc

Reference 56

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Observation 014a21e6-b507-4201-8eb8-04f6f77da671 · outbound

This paper cites IEEE Transactions on Information Forensics and Security 15, 526--538 (2019).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security 15, 526--538 (2019)

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Observation 51c1b7a7-bf6f-4b0d-94d1-44a52685e2b6 · outbound

This paper cites Computers & Security 126, 103061 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Computers & Security 126, 103061 (2023)

Reference 58

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Observation 196b7043-38aa-4ea1-9fc9-4dffc4eb4766 · outbound

This paper cites In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security

Reference 59

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Observation ac0504a1-30cc-468a-add0-976f44f00025 · outbound

This paper cites In: Proceedings of the 2024 IEEE Symposium on Security and Privacy (SP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2024 IEEE Symposium on Security and Privacy (SP)

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Observation 1d10379a-08ed-44ee-b4f7-a7b032f5578c · outbound

This paper cites Journal of Systems Architecture 127, 102526 (2022).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Journal of Systems Architecture 127, 102526 (2022)

Reference 61

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Observation 488f6ee9-37dc-462b-a146-7ec58b606385 · outbound

This paper cites In: 32nd USENIX Security Symposium (USENIX Security 23).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 32nd USENIX Security Symposium (USENIX Security 23)

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Observation 0ebd2811-ed71-4a16-9220-eaf8e53bfc41 · outbound

This paper cites In: International Symposium on Emerging Information Security and Applications.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: International Symposium on Emerging Information Security and Applications

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Observation a9d555a6-d0f0-44b8-b5f7-5b3e762f09d5 · outbound

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

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs

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Observation 1153c2c0-0baf-48d1-be13-168496cc4f14 · outbound

This paper cites Advances in Neural Information Processing Systems 32 (2019).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Advances in Neural Information Processing Systems 32 (2019)

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Observation 5440a47f-5d69-4cc4-a6b9-2638610e560d · outbound

This paper cites In: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

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Observation ab24a01c-710f-4e21-9abe-8a9c4bf71355 · outbound

This paper cites IEEE Internet of Things Journal 11(8), 13108--13124 (2023).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Internet of Things Journal 11(8), 13108--13124 (2023)

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Observation ea5398f6-0a40-4fc4-83f0-9e6f7b616baa · outbound

This paper cites In: Proceedings of the 21st international workshop on mobile computing systems and applications.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 21st international workshop on mobile computing systems and applications

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Observation 01baaae6-55ec-457b-8cad-5a5d938b765c · outbound

This paper cites Visual Intelligence 2(1), 23 (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Visual Intelligence 2(1), 23 (2024)

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Observation 2de0e3f4-beb1-442e-8622-6b1c59fe10a6 · outbound

This paper cites In: 2024 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2024 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

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Observation 62b156cf-1a10-4a3d-8b96-8d40023c8788 · outbound

This paper cites In: 2022 26th International Conference on Pattern Recognition (ICPR).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2022 26th International Conference on Pattern Recognition (ICPR)

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Observation 7e197724-244d-4e97-95f1-3a6883624b96 · outbound

This paper cites In: Proceedings of the 30th ACM International Conference on Multimedia.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 30th ACM International Conference on Multimedia

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source=arxiv_source observed=2026-08-07T04:08:48.279015Z digest=sha256:5a13029219aef79bc82f009ca73389d4a8c2ff2ab98295187a641183a9dc4ed4

Observation cd7b53d9-3ece-4968-8e61-77e0d88ecada · outbound

This paper cites In: 2023 IEEE Symposium on Security and Privacy (SP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2023 IEEE Symposium on Security and Privacy (SP)

Reference 73

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source=arxiv_source observed=2026-08-07T04:08:48.377445Z digest=sha256:4b366614c1ae08196784e925b7940496f584cd295bbf6821f7e30f40a2874ee9

Observation 47628270-b648-4b0c-a70d-6a2cedc6ee8e · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 74

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no resolver link, observed 2026-08-07T04:08:48.464647Z

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source=arxiv_source observed=2026-08-07T04:08:48.464647Z digest=sha256:5b90b2297fe877b6820ae4bacace71cca01ed8d0ca9895f48ac1567f0b1f6a83

Observation 6b995f9b-280f-4712-aec3-df69f68af75e · outbound

This paper cites Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey

Reference 75

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no resolver link, observed 2026-08-07T04:08:48.559350Z

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source=arxiv_source observed=2026-08-07T04:08:48.559350Z digest=sha256:d5b66cd3e35071b1624de7c607810a52d2489ea3f9c5a40641a6d0b206c6fb99

Observation 339374d2-8b08-4270-9b29-987aa7b124ba · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 76

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no resolver link, observed 2026-08-07T04:08:48.657695Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:08:48.657695Z digest=sha256:bc28cf0d73d822a66b169671ce12c25f3522647aee596eddad8336e4027456e9

Observation 7d6e06f4-3f3b-4e9f-886c-a99e6c66762e · outbound

This paper cites In: International Conference on Information Security Practice and Experience.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: International Conference on Information Security Practice and Experience

Reference 77

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no resolver link, observed 2026-08-07T04:08:48.755062Z

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source=arxiv_source observed=2026-08-07T04:08:48.755062Z digest=sha256:a696a74610f130d23be87b6af15d580184e6b79058c3a60fa148da6b5c25b857

Observation 143246ea-4e09-4e17-b648-c488a1831464 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 78

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no resolver link, observed 2026-08-07T04:08:48.884311Z

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source=arxiv_source observed=2026-08-07T04:08:48.884311Z digest=sha256:23775bb8c27f5301b1782bb18f216f212560f723a60b4748255bf18f85dbdac8

Observation 9712669a-44a6-42bd-a45f-b78d771aa2ed · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 79

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no resolver link, observed 2026-08-07T04:08:48.991608Z

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source=arxiv_source observed=2026-08-07T04:08:48.991608Z digest=sha256:d39c5cc624635af76153bc690d5485b9d2f450eae8e081693fdb783cabc3775d

Observation 1e152ac0-c174-4c28-b0c3-741955aef965 · outbound

This paper cites Journal of Systems Architecture 104, 101696 (2020).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Journal of Systems Architecture 104, 101696 (2020)

Reference 80

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unresolved
no resolver link, observed 2026-08-07T04:08:49.086694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:49.086694Z digest=sha256:812304a613e3adf6c5e154c910c534dc58f3e8d2fcc79d8ec085693151b6fe36

Observation 41853fe8-0627-4958-8205-c12fbd969cf4 · outbound

This paper cites Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models

Reference 81

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unresolved
no resolver link, observed 2026-08-07T04:08:49.204476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:49.204476Z digest=sha256:48714b6c98e54fce293350be5da6d533f84a3de8cec796ce8748c11e65e2ab10

Observation 7af16a97-58ff-4ea5-be02-1d1a287f6640 · outbound

This paper cites The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers

Reference 82

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metadata mismatch
local_arxiv, observed 2026-08-07T04:09:01.621396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:49.319997Z digest=sha256:7f79214265cc49e86b71eff68c4183ab2add26e95b2ec3196821062d438c13f1

Observation 14c4d0b8-bd63-46f8-9fdb-7ee8938ecc19 · outbound

This paper cites IEEE Access (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Access (2024)

Reference 83

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unresolved
no resolver link, observed 2026-08-07T04:08:49.397973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:49.397973Z digest=sha256:0b0e0b96754e7cb877fd1514a72f9291495eea6793b229868a63f976d036a746

Observation dd72e319-2aa8-4fb7-9bb3-5a76a32f3bde · outbound

This paper cites Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach

Reference 84

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metadata mismatch
local_arxiv, observed 2026-08-07T04:09:01.320531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:49.519686Z digest=sha256:65dfe242ae2100d447470197cd112d857cac0c6ada6bcfb62e2d321f2a352c64

Observation da381064-a083-4c55-a040-8dd66964789e · outbound

This paper cites Advances in Neural Information Processing Systems 37, 63858--63872 (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Advances in Neural Information Processing Systems 37, 63858--63872 (2024)

Reference 85

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no resolver link, observed 2026-08-07T04:08:49.643955Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:08:49.643955Z digest=sha256:4c9049d75fc22f7fa2e1d817f3ec3af13041807a5b932f55905141ae7e830ab7

Observation 63d36817-eed8-4ee0-ab9f-b5d545b91cb1 · outbound

This paper cites IEEE Access 10, 23532--23544 (2022).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Access 10, 23532--23544 (2022)

Reference 86

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unresolved
no resolver link, observed 2026-08-07T04:08:49.773997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:49.773997Z digest=sha256:3fbdb267c0b9cb68376073f87e7ec9dc247b7a25ec6c1156b506d4b457cac4d2

Observation 77c962c8-fe15-4322-9a76-860c34872379 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 87

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unresolved
no resolver link, observed 2026-08-07T04:08:49.906147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:49.906147Z digest=sha256:cc5cd753e29b44e3527898acc1d7e0ff1d514d5fb33aa02e87f29bd2ef86af3a

Observation 1848d635-2263-46d4-a643-6c1753c7db44 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 30058--30070 (2022).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Advances in Neural Information Processing Systems 35, 30058--30070 (2022)

Reference 88

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no resolver link, observed 2026-08-07T04:08:49.978039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:49.978039Z digest=sha256:dc6163147f2d2a1aa60394bb86fa1291d142a59fce405179f81eb571015123f9

Observation 01dfc90b-9814-4a52-957c-3acf1d415912 · outbound

This paper cites ACM Transactions on Privacy and Security 27(2), 1--26 (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models ACM Transactions on Privacy and Security 27(2), 1--26 (2024)

Reference 89

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unresolved
no resolver link, observed 2026-08-07T04:08:50.077077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:50.077077Z digest=sha256:c0e306a9cb1ecbac8d94b1f9049e8777cab49d6d75222a254512c0e12b398b75

Observation 1f950e40-0dc5-47c3-9006-823df778fa7b · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 90

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unresolved
no resolver link, observed 2026-08-07T04:08:50.191240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:50.191240Z digest=sha256:ea3a45abe7af208a9b013d8571fb430100d488c987c247e52efb7ba889132c0c

Observation 3455fe34-bcbc-4220-a771-6d86d23fd355 · outbound

This paper cites In: 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI)

Reference 91

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unresolved
no resolver link, observed 2026-08-07T04:08:50.319411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:50.319411Z digest=sha256:6060294bb7ff14f80836fd7956dab8d58d347a8a800ae8cab17ba47c3c7edaf8

Observation 1e21d89d-d227-4689-8bc5-ad67b7fc5301 · outbound

This paper cites In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 92

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unresolved
no resolver link, observed 2026-08-07T04:08:50.468653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:50.468653Z digest=sha256:15db7486efd3cd6e8fe642e26ae2222b18855c04ecf494a2a3d3379fa744e05f

Observation 55324daa-c141-4843-8629-e3a815cbfc4a · outbound

This paper cites Expert Systems with Applications 250, 123941 (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Expert Systems with Applications 250, 123941 (2024)

Reference 93

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verified fuzzy
raw_fallback, observed 2026-08-07T04:09:13.690384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:50.571888Z digest=sha256:abc14a6c4b077eeb271a7330ff5ed972c512d5e105961a33f5ffd44870e38faa

Observation b3d313d6-8d01-4a38-9562-9a08db27eb4f · outbound

This paper cites In: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:09:13.552878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:50.658360Z digest=sha256:2af76482dba33d2aebbd27281073ec2644fbfef225eb693d97bda4d4e04062a4

Observation 7865a8e7-c8d4-4305-b0ef-0f978b8da218 · outbound

This paper cites In: Proceedings of the 2024 Workshop on Artificial Intelligence and Security.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2024 Workshop on Artificial Intelligence and Security

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:09:13.397794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:50.790951Z digest=sha256:61b7e085e6c0bfcb4625a59340c2799f36edd406aa4afaed84a6ca7cd65268a5

Observation 6baf7137-5bd1-4e5e-aa2d-df76fc0c6270 · outbound

This paper cites Voice Jailbreak Attacks Against GPT-4o.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Voice Jailbreak Attacks Against GPT-4o

Reference 96

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unresolved
no resolver link, observed 2026-08-07T04:08:50.912160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:50.912160Z digest=sha256:f2c3cbf89e8b87a852b4e72c1e0afe3863ff7f0fe713b7fdf445366c33a8d2a8

Observation a0828d91-f60b-419b-adc4-93b759e021f9 · outbound

This paper cites In: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:09:13.229104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:51.001865Z digest=sha256:607d5299d58962967a80dfe0118a6ab0a03b465051735f3a210b3d6e8cba7a87

Observation 5b2487ad-2d38-4860-a067-1b58c9706e1b · outbound

This paper cites In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:09:12.996806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:51.086734Z digest=sha256:9ef75e7728a4a23e2eb94c401206858ac724ebe66d54717d5d51d09caa082bdd

Observation 77521a27-1da5-4f76-bb41-1333b835a76c · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:09:12.821095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:51.213992Z digest=sha256:3099a96ba771e26c4d16e21baaa452f83bcb8dbd5b0f3e45dd8070a907dc76cf

Observation ad2d4336-4621-4651-b872-a4e1925dcad7 · outbound

This paper cites Pattern Recognition Letters 177, 103--109 (2024).

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Pattern Recognition Letters 177, 103--109 (2024)

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:09:12.584128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:08:51.301073Z digest=sha256:a3dc7d83210359ce58e38ca25a71c1c1330361728c113d0390fe45e3fd1c6468

Pith citing papers

No inbound Pith citation observations are available.