Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks | Paper Citation Record

Observation 9465c12d-16e0-42fd-9df6-635c937d8f8d · outbound

This paper cites GPT-4 Technical Report.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks GPT-4 Technical Report

Reference 1

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Observation 278eacc9-6bb0-4c15-91c4-0d24191c39dc · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Flamingo: a visual language model for few-shot learning

Reference 2

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Observation 724168eb-2f27-4764-901e-b5c6e2853967 · outbound

This paper cites Image Hijacks: Adversarial Images can Control Generative Models at Runtime.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Image Hijacks: Adversarial Images can Control Generative Models at Runtime

Reference 3

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Observation 0f3c50c8-331c-400d-bcb1-1a28d6f2a09e · outbound

This paper cites One transformer fits all distributions in multi-modal diffu- sion at scale.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks One transformer fits all distributions in multi-modal diffu- sion at scale

Reference 4

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Observation dca4f61e-f790-474d-bd4b-140f50cfccbc · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks On the Opportunities and Risks of Foundation Models

Reference 5

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Observation 2a3d54cd-5d13-4f8c-9179-1262e0056135 · outbound

This paper cites On Evaluating Adversarial Robustness.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks On Evaluating Adversarial Robustness

Reference 6

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Observation ac2367b1-b2ed-4d99-a166-27d6df747aaf · outbound

This paper cites Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36, 2024.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.494925Z

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Observation def00373-d365-4270-8781-2a5121f04642 · outbound

This paper cites Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning

Reference 8

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Observation ef3077b2-2aa8-405b-a459-109a278f3a35 · outbound

This paper cites Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Rethinking Model Ensemble in Transfer-based Adversarial Attacks

Reference 9

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Observation d5b04198-9e4d-49f2-a807-185ac811989b · outbound

This paper cites Visualgpt: Data-efficient adaptation of pretrained language models for image captioning.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Visualgpt: Data-efficient adaptation of pretrained language models for image captioning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.479746Z

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Observation 1a00a7c4-09f5-4230-afbd-962ed25caae8 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.317956Z

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Observation 2c4dbad5-255b-498f-b98e-6f7ea2be4121 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.322630Z

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Observation cb4aeab9-d8a7-4d16-8e41-98e7d221a17e · outbound

This paper cites On the robustness of large multimodal mod- els against image adversarial attacks.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks On the robustness of large multimodal mod- els against image adversarial attacks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.453752Z

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Observation b4684860-9ea8-47c9-85af-bd2b360debb7 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Imagenet: A large-scale hierarchical image database

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.437420Z

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Observation 5722d0ba-873b-4a86-9fed-4a897f2f0db7 · outbound

This paper cites Boosting adversarial at- tacks with momentum.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Boosting adversarial at- tacks with momentum

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.421440Z

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Observation eff8c265-d324-4f9f-888e-83c2eb789aab · outbound

This paper cites Query-efficient black-box adversarial attacks guided by a transfer-based prior.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Query-efficient black-box adversarial attacks guided by a transfer-based prior

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.406233Z

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Observation b305d782-bd03-4cc6-9574-69ebd0f8cdd0 · outbound

This paper cites How Robust is Google's Bard to Adversarial Image Attacks?.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks How Robust is Google's Bard to Adversarial Image Attacks?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.345445Z

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Observation 2527124c-5dab-42b9-ba28-354b1739f51a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.350159Z

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Observation 0dc6c3e0-3019-4a23-9054-092bfa50da79 · outbound

This paper cites Transferable decoding with visual entities for zero-shot image captioning.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Transferable decoding with visual entities for zero-shot image captioning

Reference 19

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Observation d99fc87f-5a8e-416b-bb9a-3951d919900d · outbound

This paper cites Misusing Tools in Large Language Models With Visual Adversarial Examples.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Misusing Tools in Large Language Models With Visual Adversarial Examples

Reference 20

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Observation 455e54ab-a27b-4814-8c6b-0ccdb3868698 · outbound

This paper cites FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.364618Z

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Observation eb0c1066-5b28-4eb1-98e9-a7599193977c · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Explaining and Harnessing Adversarial Examples

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.369843Z

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Observation 23b15a9f-03a8-420a-9193-10ce65785e56 · outbound

This paper cites Simple black-box adversar- ial attacks.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Simple black-box adversar- ial attacks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.373846Z

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Observation d9f44e4a-fcfb-46a5-837f-3629ed15c53c · outbound

This paper cites Deep residual learning for image recognition.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Deep residual learning for image recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.378882Z

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Observation 260eec44-4f03-47d9-829d-eff3209d306b · outbound

This paper cites Enhancing adversarial example transferability with an intermediate level attack.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Enhancing adversarial example transferability with an intermediate level attack

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.347680Z

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Observation 0e744330-1374-4afe-b196-5bcdd9791f62 · outbound

This paper cites Black-box adversarial attacks with limited queries and information.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Black-box adversarial attacks with limited queries and information

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.331922Z

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Observation 57ac0a62-e22f-4c7b-ae8f-71f2b98b55be · outbound

This paper cites Jailbreakzoo: Survey, landscapes, and horizons in jailbreaking large language and vision-language models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Jailbreakzoo: Survey, landscapes, and horizons in jailbreaking large language and vision-language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.394023Z

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Observation 6eb0efc9-d3b0-458d-b9e8-be1d4452e1ff · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.399083Z

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Observation 8809e5a4-2b83-48e4-81de-90f8229468ee · outbound

This paper cites Improved baselines with visual instruction tuning.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Improved baselines with visual instruction tuning

Reference 29

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Observation ae9cf933-1803-4760-a0d3-924c70bc902d · outbound

This paper cites Visual instruction tuning.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Visual instruction tuning

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f529ce5c-d849-4d9c-8f6b-8ede1a60fba4 · outbound

This paper cites Delving into Transferable Adversarial Examples and Black-box Attacks.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 31

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Observation 11626c42-057c-481f-8623-7e7c4cb46010 · outbound

This paper cites Delving into transferable adversarial examples and black- box attacks.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Delving into transferable adversarial examples and black- box attacks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.275318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9a7b32e-17ad-4556-a584-f33a14cf35f0 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 33

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Observation db831ca2-61dd-425b-977f-52846b6be8fe · outbound

This paper cites ClipCap: CLIP Prefix for Image Captioning.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks ClipCap: CLIP Prefix for Image Captioning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.425894Z

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Observation 3a583908-46da-47a4-8df0-be3535eab082 · outbound

This paper cites Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Reference 35

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Observation aabf837b-6f64-4191-ae19-f3ce9c8c758c · outbound

This paper cites Practi- cal black-box attacks against machine learning.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Practi- cal black-box attacks against machine learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.249927Z

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Observation 68c7a997-5a37-4ed7-a343-df167c9bab1b · outbound

This paper cites Red Teaming Language Models with Language Models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Red Teaming Language Models with Language Models

Reference 37

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Observation 131bc890-ff1a-4462-9df5-d54cb3533721 · outbound

This paper cites Visual Adversarial Examples Jailbreak Aligned Large Language Models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Visual Adversarial Examples Jailbreak Aligned Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.445238Z

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Observation 0dffcf7f-c20d-452f-b7cc-3a0407f56fdb · outbound

This paper cites Boosting the transferability of ad- versarial attacks with reverse adversarial perturbation.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Boosting the transferability of ad- versarial attacks with reverse adversarial perturbation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.234182Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ee143442-8368-488e-ab7b-81699295b20b · outbound

This paper cites Language models are unsu- pervised multitask learners.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Language models are unsu- pervised multitask learners

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.454674Z

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Observation f4571ce6-ad84-41da-8b59-415926b0dbf1 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Learning transferable visual models from natural language supervi- sion

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.208805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32d7222d-9524-403b-897f-02f3b6ae6d1e · outbound

This paper cites Smallcap: lightweight image captioning prompted with retrieval augmentation.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Smallcap: lightweight image captioning prompted with retrieval augmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.191362Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e6be4645-f99b-4a08-a473-f920a359b44b · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Red-Teaming the Stable Diffusion Safety Filter

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.468299Z

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Observation 04091d0e-6ac4-47c8-a029-93a8bad3915a · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks High-resolution image synthesis with latent diffusion models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.175234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7ef2b3d-079c-4fc7-afe2-6f4c17489b54 · outbound

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

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks LLaMA: Open and Efficient Foundation Language Models

Reference 45

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Observation 819d6954-93ba-49d1-a469-f2e347f8677b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.482107Z

Source-reported events for the cited work

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Observation fac32d46-9ac9-47b8-86bf-1126fdaf3be9 · outbound

This paper cites How many unicorns are in this image a safety evaluation benchmark for vision llms.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks How many unicorns are in this image a safety evaluation benchmark for vision llms

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.159394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 87f9dc7d-f8f0-4b69-aecc-f2dd709e3b53 · outbound

This paper cites Decodingtrust: A com- prehensive assessment of trustworthiness in gpt models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Decodingtrust: A com- prehensive assessment of trustworthiness in gpt models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.143484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73c3d2fd-7404-4b75-aaf8-ce54a53d3172 · outbound

This paper cites Exact adversarial attack to image captioning via structured output learning with la- tent variables.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Exact adversarial attack to image captioning via structured output learning with la- tent variables

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.127179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9fc0d42a-727c-4fea-b7c7-6fcd83068a03 · outbound

This paper cites Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:04:45.637508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e242e9b5-987b-4cbf-9a31-9a194fc82351 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks The unreasonable effectiveness of deep features as a perceptual metric

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.504498Z

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Observation 5bd67aec-a927-4b0a-b458-4f204a7d0253 · outbound

This paper cites A Review of Adversarial Attacks in Computer Vision.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks A Review of Adversarial Attacks in Computer Vision

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:04:45.614774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f62fb484-f36f-4296-a72d-05ee7d4f33ed · outbound

This paper cites A Recipe for Watermarking Diffusion Models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks A Recipe for Watermarking Diffusion Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:45.513954Z

Source-reported events for the cited work

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Observation 44e1525b-a63d-4526-afd9-50c78ff60cc9 · outbound

This paper cites On evaluating adversarial robustness of large vision-language models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks On evaluating adversarial robustness of large vision-language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.101716Z

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Observation 8447102d-4c56-4706-9e50-36519ca91265 · outbound

This paper cites Transferable ad- versarial perturbations.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Transferable ad- versarial perturbations

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.084878Z

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Observation cf23132f-9ad5-4d51-9356-af7bce5250f5 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 56

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Observation deaa29fd-bdcf-41e4-bd4a-0cbfb48337c2 · outbound

This paper cites How do you think of this image?.

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks How do you think of this image?

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:46.068676Z

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