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Xiaogeng Liu
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2020 – today
- 2024
- [c7]Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao:
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. ICLR 2024 - [c6]Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin:
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. SP 2024: 3365-3384 - [c5]Zhiyuan Yu, Xiaogeng Liu, Shunning Liang, Zach Cameron, Chaowei Xiao, Ning Zhang:
Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models. USENIX Security Symposium 2024 - [i12]Xiaogeng Liu, Zhiyuan Yu, Yizhe Zhang, Ning Zhang, Chaowei Xiao:
Automatic and Universal Prompt Injection Attacks against Large Language Models. CoRR abs/2403.04957 (2024) - [i11]Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao:
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting. CoRR abs/2403.09513 (2024) - [i10]Zhiyuan Yu, Xiaogeng Liu, Shunning Liang, Zach Cameron, Chaowei Xiao, Ning Zhang:
Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models. CoRR abs/2403.17336 (2024) - [i9]Weidi Luo, Siyuan Ma, Xiaogeng Liu, Xiaoyu Guo, Chaowei Xiao:
JailBreakV-28K: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks. CoRR abs/2404.03027 (2024) - [i8]Siyuan Ma, Weidi Luo, Yu Wang, Xiaogeng Liu, Muhao Chen, Bo Li, Chaowei Xiao:
Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Characte. CoRR abs/2405.20773 (2024) - [i7]Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - 2023
- [c4]Xiaogeng Liu, Minghui Li
, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao:
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. CVPR 2023: 16363-16372 - [c3]Shengshan Hu
PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness. ACM Multimedia 2023: 666-675 - [i6]Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao:
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. CoRR abs/2303.18191 (2023) - [i5]Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin:
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training. CoRR abs/2307.07873 (2023) - [i4]Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao:
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. CoRR abs/2310.04451 (2023) - [i3]Fangzhou Wu, Xiaogeng Liu, Chaowei Xiao:
DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions. CoRR abs/2312.04730 (2023) - 2022
- [c2]Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. CVPR 2022: 14994-15003 - [i2]Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu:
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. CoRR abs/2203.03121 (2022) - [i1]Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu:
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation. CoRR abs/2203.03810 (2022) - 2021
- [c1]Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li
AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch. ACM Multimedia 2021: 2335-2343
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