Xiaogeng Liu

According to our database, Xiaogeng Liu authored at least 26 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines.

Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao

CoRR, July, 2025

DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents.

Hao Li, Xiaogeng Liu, Hung-Chun Chiu, Dianqi Li, Ning Zhang, Chaowei Xiao

CoRR, June, 2025

OET: Optimization-based prompt injection Evaluation Toolkit.

Jinsheng Pan, Xiaogeng Liu, Chaowei Xiao

CoRR, May, 2025

Doxing via the Lens: Revealing Privacy Leakage in Image Geolocation for Agentic Multi-Modal Large Reasoning Model.

Weidi Luo, Qiming Zhang, Tianyu Lu, Xiaogeng Liu, Yue Zhao, Zhen Xiang, Chaowei Xiao

CoRR, April, 2025

CVE-Bench: Benchmarking LLM-based Software Engineering Agent's Ability to Repair Real-World CVE Vulnerabilities.

Peiran Wang, Xiaogeng Liu, Chaowei Xiao

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process.

Peiran Wang, Xiaogeng Liu, Chaowei Xiao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Can Watermarks be Used to Detect LLM IP Infringement For Free?

Zhengyue Zhao, Xiaogeng Liu, Somesh Jha, Patrick McDaniel, Bo Li, Chaowei Xiao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs.

Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection.

Weidi Luo, Shenghong Dai, Xiaogeng Liu, Suman Banerjee, Huan Sun, Muhao Chen, Chaowei Xiao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free.

Hao Li, Xiaogeng Liu, Ning Zhang, Chaowei Xiao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models.

Hao Li, Xiaogeng Liu, Chaowei Xiao

CoRR, 2024

Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Characte.

Siyuan Ma, Weidi Luo, Yu Wang, Xiaogeng Liu, Muhao Chen, Bo Li, Chaowei Xiao

CoRR, 2024

JailBreakV-28K: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks.

Weidi Luo, Siyuan Ma, Xiaogeng Liu, Xiaoyu Guo, Chaowei Xiao

CoRR, 2024

Automatic and Universal Prompt Injection Attacks against Large Language Models.

Xiaogeng Liu, Zhiyuan Yu, Yizhe Zhang, Ning Zhang, Chaowei Xiao

CoRR, 2024

Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models.

Zhiyuan Yu, Xiaogeng Liu, Shunning Liang, Zach Cameron, Chaowei Xiao, Ning Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability.

Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin

Proceedings of the IEEE Symposium on Security and Privacy, 2024

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AdaShield : Safeguarding Multimodal Large Language Models from Structure-Based Attack via Adaptive Shield Prompting.

Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions.

Fangzhou Wu, Xiaogeng Liu, Chaowei Xiao

CoRR, 2023

Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training.

Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin

CoRR, 2023

PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness.

Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency.

Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation.

Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu

CoRR, 2022

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer.

Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch.

Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021