Xiaogeng Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Image Understanding

Code Generation

Top Venues

USENIX Security Symposium

Publications

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)
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 (2024)
Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. ICLR (2024)
Xiaogeng Liu, Zhiyuan Yu, Yizhe Zhang, Ning Zhang, Chaowei Xiao
Automatic and Universal Prompt Injection Attacks against Large Language Models. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
Fangzhou Wu, Xiaogeng Liu, Chaowei Xiao
DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions. CoRR (2023)
Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. CoRR (2023)
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 (2023)
Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou
PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness. ACM Multimedia (2023)
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 (2023)
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. CVPR (2022)
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 (2022)
Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation. CoRR (2022)
Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin
AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch. ACM Multimedia (2021)