Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning
Meets Adversarial Images

v1v2 (latest)

Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images

22 February 2024

Zhen Han

Jindong Gu

ArXiv (abs)PDF HTML

Papers citing "Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images"

13 / 13 papers shown

Title
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization Dongchen Han Xiaojun Jia Yang Bai Jindong Gu Yang Liu Xiaochun Cao VLM 70 26 0 07 Dec 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 99 193 0 06 Sep 2023
Universal and Transferable Adversarial Attacks on Aligned Language Models Andy Zou Zifan Wang Nicholas Carlini Milad Nasr J. Zico Kolter Matt Fredrikson 291 1,508 0 27 Jul 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi Kaixuan Huang Ashwinee Panda Peter Henderson Mengdi Wang Prateek Mittal AAML 87 167 0 22 Jun 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Chongxuan Li Ngai-Man Cheung Min Lin VLM AAML MLLM 120 180 0 26 May 2023
Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang Aston Zhang Mu Li Alexander J. Smola ReLM LRM 150 632 0 07 Oct 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu Swaroop Mishra Tony Xia Liang Qiu Kai-Wei Chang Song-Chun Zhu Oyvind Tafjord Peter Clark Ashwin Kalyan ELM ReLM LRM 283 1,296 0 20 Sep 2022
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge Dustin Schwenk Apoorv Khandelwal Christopher Clark Kenneth Marino Roozbeh Mottaghi 67 551 0 03 Jun 2022
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 67 335 0 19 Mar 2021
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 76 498 0 11 Jun 2020
Saliency Methods for Explaining Adversarial Attacks Jindong Gu Volker Tresp FAtt AAML 41 30 0 22 Aug 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 92 906 0 18 Feb 2019
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 243 3,194 0 01 Feb 2018

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