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In the realm of large vision language models (LVLMs), jailbreak attacks serve as a red-teaming approach to bypass guardrails and uncover safety implications.
Transferable adversarial attacks for image and video object detection
Xingxing Wei, Siyuan Liang, Ning Chen, and Xiaochun Cao · 2018
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Earlier work this paper cites.
Perceptual-sensitive gan for generating adversarial patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, and Dacheng Tao · 2019
Earlier work this paper cites.
Efficient adversarial attacks for visual object tracking
Siyuan Liang, Xingxing Wei, Siyuan Yao, and Xiaochun Cao · 2020
Earlier work this paper cites.
Spatiotemporal attacks for embodied agents
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J Maybank, and Dacheng Tao · 2020
Earlier work this paper cites.
Bias-based universal adversarial patch attack for automatic check-out
Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, and Hang Yu · 2020
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, et al · 2020
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Image retrieval on real-life images with pre-trained vision-and-language models
Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, and Stephen Gould · 2021
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Poisoning attack against estimating from pairwise comparisons
Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, and Qingming Huang · 2021
Earlier work this paper cites.
Generate more imperceptible adversarial examples for object detection
Siyuan Liang, Xingxing Wei, and Xiaochun Cao · 2021
Earlier work this paper cites.
Dual attention suppression attack: Generate adversarial camouflage in physical world
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, and Xianglong Liu · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Visualgpt: Data-efficient adaptation of pretrained language models for image captioning
Jun Chen, Han Guo, Kai Yi, Boyang Li, and Mohamed Elhoseiny · 2022
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A tale of hodgerank and spectral method: Target attack against rank aggregation is the fixed point of adversarial game
Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, and Qingming Huang · 2022
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Semi-supervised robust training with generalized perturbed neighborhood
Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, and Shu-Tao Xia · 2022
Earlier work this paper cites.
Parallel rectangle flip attack: A query-based black-box attack against object detection
Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, and Xiaochun Cao · 2022
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A large-scale multiple-objective method for black-box attack against object detection
Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, and Xiaochun Cao · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2022
Earlier work this paper cites.
Harnessing perceptual adversarial patches for crowd counting
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, and Dacheng Tao · 2022
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
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Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
Earlier work this paper cites.
On the adversarial robustness of multi-modal foundation models
Christian Schlarmann and Matthias Hein · 2023
Earlier work this paper cites.
On the robustness of large multimodal models against image adversarial attacks
Xuanming Cui, Alejandro Aparcedo, Young Kyun Jang, and Ser-Nam Lim · 2023
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Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning
Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, and Ee-Chien Chang · 2023
Earlier work this paper cites.
Pre-trained trojan attacks for visual recognition
Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, and Dacheng Tao · 2023
Earlier work this paper cites.
Does few-shot learning suffer from backdoor attacks?
Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, and Xiaochun Cao · 2023
Earlier work this paper cites.
Nba: defensive distillation for backdoor removal via neural behavior alignment
Zonghao Ying and Bin Wu · 2023
Earlier work this paper cites.
Dlp: towards active defense against backdoor attacks with decoupled learning process
Zonghao Ying and Bin Wu · 2023
Cited alongside, same era.
GPTFUZZER: red teaming large language models with auto-generated jailbreak prompts
Jiahao Yu, Xingwei Lin, Zheng Yu, and Xinyu Xing · 2023
Cited alongside, same era.
Jailbroken: How does LLM safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2023
Cited alongside, same era.
Jailbreaking black box large language models in twenty queries
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, and Eric Wong · 2023
Cited alongside, same era.
Are aligned neural networks adversarially aligned?
Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Pang Wei Koh, Daphne Ippolito, Florian Tramèr, and Ludwig Schmidt · 2023
Cited alongside, same era.
Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, and Ajay Divakaran · 2023
Later among the works it cites.
A survey of chain of thought reasoning: Advances, frontiers and future
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, and Ting Liu · 2023
Later among the works it cites.
Instructblip: Towards general-purpose vision-language models with instruction tuning
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, and Steven C. H. Hoi · 2023
Later among the works it cites.
Llama guard: Llm-based input-output safeguard for human-ai conversations
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, and Madian Khabsa · 2023
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LIMA: less is more for alignment
Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, and Omer Levy · 2023
Cited alongside, same era.
On evaluating adversarial robustness of large vision-language models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, and Min Lin · 2023
Cited alongside, same era.
Figstep: Jailbreaking large vision-language models via typographic visual prompts
Yichen Gong, Delong Ran, Jinyuan Liu, Conglei Wang, Tianshuo Cong, Anyu Wang, Sisi Duan, and Xiaoyun Wang · 2023
Cited alongside, same era.
Diversifying the high-level features for better adversarial transferability
Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, and Xiaosen Wang · 2023
Cited alongside, same era.
{ \{ X-Adv } \} : Physical adversarial object attacks against x-ray prohibited item detection
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, and Dacheng Tao · 2023
Cited alongside, same era.
Generating transferable 3d adversarial point cloud via random perturbation factorization
Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, and Xiaochun Cao · 2023
Cited alongside, same era.
Improving adversarial transferability by stable diffusion
Jiayang Liu, Siyu Zhu, Siyuan Liang, Jie Zhang, Han Fang, Weiming Zhang, and Ee-Chien Chang · 2023
Cited alongside, same era.
Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, and Bo Han · 2023
Later among the works it cites.
Jailbreak and guard aligned language models with only few in-context demonstrations
Zeming Wei, Yifei Wang, and Yisen Wang · 2023
Later among the works it cites.
Bangyan He, Xiaojun Jia, Siyuan Liang, Tianrui Lou, Yang Liu, and Xiaochun Cao · 2023
Later among the works it cites.
Improving robust fairness via balance adversarial training
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, and Aishan Liu · 2023
Later among the works it cites.
Exploring inconsistent knowledge distillation for object detection with data augmentation
Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, and Xiaochun Cao · 2023
Later among the works it cites.
Jusung Lee, Sungguk Cha, Younghyun Lee, and Cheoljong Yang · 2024
Closest in time.
An image is worth 1000 lies: Adversarial transferability across prompts on vision-language models
Haochen Luo, Jindong Gu, Fengyuan Liu, and Philip Torr · 2024
Closest in time.
Jailbreak in pieces: Compositional adversarial attacks on multi-modal language models
Erfan Shayegani, Yue Dong, and Nael Abu-Ghazaleh · 2024
Closest in time.
Poisoned forgery face: Towards backdoor attacks on face forgery detection
Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, and Xiaochun Cao · 2024
Closest in time.
Vl-trojan: Multimodal instruction backdoor attacks against autoregressive visual language models
Jiawei Liang, Siyuan Liang, Man Luo, Aishan Liu, Dongchen Han, Ee-Chien Chang, and Xiaochun Cao · 2024
Closest in time.
Vision-llms can fool themselves with self-generated typographic attacks
Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, and Bryan A. Plummer · 2024
Closest in time.
Semantic mirror jailbreak: Genetic algorithm based jailbreak prompts against open-source llms
Xiaoxia Li, Siyuan Liang, Jiyi Zhang, Han Fang, Aishan Liu, and Ee-Chien Chang · 2024
Closest in time.
Visual adversarial examples jailbreak aligned large language models
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, and Prateek Mittal · 2024
Closest in time.
Jailbreaking attack against multimodal large language model
Zhenxing Niu, Haodong Ren, Xinbo Gao, Gang Hua, and Rong Jin · 2024
Closest in time.
Instructta: Instruction-tuned targeted attack for large vision-language models
Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, and Shuai Wang · 2024
Closest in time.
WARM: on the benefits of weight averaged reward models
Alexandre Ramé, Nino Vieillard, Léonard Hussenot, Robert Dadashi, Geoffrey Cideron, Olivier Bachem, and Johan Ferret · 2024
Closest in time.
OpenAI, Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, et al · 2024
Closest in time.
Mllm-protector: Ensuring mllm’s safety without hurting performance
Renjie Pi, Tianyang Han, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, and Tong Zhang · 2024
Closest in time.
Attackeval: How to evaluate the effectiveness of jailbreak attacking on large language models
Dong Shu, Mingyu Jin, Suiyuan Zhu, Beichen Wang, Zihao Zhou, Chong Zhang, and Yongfeng Zhang · 2024
Closest in time.
Imgtrojan: Jailbreaking vision-language models with ONE image
Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, and Lingpeng Kong · 2024
Closest in time.
Vision transformer with quadrangle attention
Qiming Zhang, Jing Zhang, Yufei Xu, and Dacheng Tao · 2024
Closest in time.
Hide in thicket: Generating imperceptible and rational adversarial perturbations on 3d point clouds
Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, and Xiaochun Cao · 2024
Closest in time.