Chaowei Xiao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
77
Venues
24
Active years
2014–2026
Best venue rank
A*
Where they publish
- A*ICLR18 papers
- ANAACL8 papers
- A*ECCV8 papers
- A*ACL7 papers
- A*ICML7 papers
- A*CVPR5 papers
- A*EMNLP3 papers
- A*ICRA2 papers
- A*SP2 papers
- A*INFOCOM2 papers
- A*ICCV2 papers
- A*AAAI1 paper
- BDASFAA1 paper
- AWACV1 paper
- ASC1 paper
- ABMVC1 paper
- UnrankedCoRL1 paper
- BEWSN1 paper
- BIWQoS1 paper
- A*CCS1 paper
- A*ICDM1 paper
- A*IJCAI1 paper
- BPAM1 paper
- A*MOBICOM1 paper
Papers
77 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Can Editing LLMs Inject Harm? | Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu |
| 2026 | ACL | Defenses Against Prompt Attacks Learn Surface Heuristics. | Shawn Li, Chenxiao Yu, Zhiyu Ni, Hao Li, Charith Peris, Chaowei Xiao, Yue Zhao |
| 2026 | ACL | Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks. | Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Zhenqiang Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi W. Ma, Chaowei Xiao, Bo Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang |
| 2025 | ACL | SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment. | Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen |
| 2025 | ACL | PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free. | Hao Li, Xiaogeng Liu, Ning Zhang, Chaowei Xiao |
| 2025 | ACL | 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 |
| 2025 | DASFAA | Declarative Privacy-Preserving Inference Queries. | Hong Guan, Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Yancheng Wang, Deepti Gupta, Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou |
| 2025 | ICLR | DataGen: Unified Synthetic Dataset Generation via Large Language Models. | Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang |
| 2025 | ICLR | LeanAgent: Lifelong Learning for Formal Theorem Proving. | Adarsh Kumarappan, Mo Tiwari, Peiyang Song, Robert Joseph George, Chaowei Xiao, Anima Anandkumar |
| 2025 | ICLR | Robust Representation Consistency Model via Contrastive Denoising. | Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, Anima Anandkumar |
| 2025 | ICLR | Eia: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage. | Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. | Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao |
| 2025 | ICLR | T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. | Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Can Watermarks be Used to Detect LLM IP Infringement For Free? | Zhengyue Zhao, Xiaogeng Liu, Somesh Jha, Patrick McDaniel, Bo Li, Chaowei Xiao |
| 2025 | ICML | Sample-specific Noise Injection for Diffusion-based Adversarial Purification. | Yuhao Sun, Jiacheng Zhang, Zesheng Ye, Chaowei Xiao, Feng Liu |
| 2025 | ICML | MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines. | Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao |
| 2025 | ICRA | DreamDrive: Generative 4D Scene Modeling from Street View Images. | Jiageng Mao, Boyi Li, Boris Ivanovic, Yuxiao Chen, Yan Wang, Yurong You, Chaowei Xiao, Danfei Xu, Marco Pavone, Yue Wang |
| 2025 | NAACL | Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. | Wenjie Jacky Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Hadi Askari, Chaowei Xiao, Muhao Chen |
| 2025 | NAACL | RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process. | Peiran Wang, Xiaogeng Liu, Chaowei Xiao |
| 2025 | NAACL | CVE-Bench: Benchmarking LLM-based Software Engineering Agent's Ability to Repair Real-World CVE Vulnerabilities. | Peiran Wang, Xiaogeng Liu, Chaowei Xiao |
| 2025 | SP | Preference Poisoning Attacks on Reward Model Learning. | Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik |
| 2024 | ACL | RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models. | Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao |
| 2024 | CVPR | Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. | Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar |
| 2024 | ECCV | RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. | Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone |
| 2024 | ECCV | Dolphins: Multimodal Language Model for Driving. | Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, Chaowei Xiao |
| 2024 | ECCV | AdaShield : Safeguarding Multimodal Large Language Models from Structure-Based Attack via Adaptive Shield Prompting. | Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao |
| 2024 | ECCV | Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation. | Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Z. Morley Mao, Chaowei Xiao, Atul Prakash |
| 2024 | ICLR | Conversational Drug Editing Using Retrieval and Domain Feedback. | Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao |
| 2024 | ICLR | AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. | Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao |
| 2024 | ICLR | CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. | Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Zhuoqing Mao, Chaowei Xiao |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICRA | Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. | Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone |
| 2024 | NAACL | From Shortcuts to Triggers: Backdoor Defense with Denoised PoE. | Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen |
| 2024 | NAACL | ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. | Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao |
| 2024 | NAACL | Instructional Fingerprinting of Large Language Models. | Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen |
| 2024 | NAACL | Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. | Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen |
| 2024 | NAACL | Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking. | Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen |
| 2024 | WACV | Differentially Private Video Activity Recognition. | Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar |
| 2024 | SC | MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. | Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Vin Hatanp, Varuni K. Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan |
| 2023 | ACL | Defending against Insertion-based Textual Backdoor Attacks via Attribution. | Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran |
| 2023 | BMVC | Semantic Adversarial Attacks via Diffusion Models. | Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu |
| 2023 | CVPR | 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 |
| 2023 | CVPR | VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. | Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, Jos M. lvarez, Sanja Fidler, Chen Feng, Anima Anandkumar |
| 2023 | EMNLP | HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. | Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran |
| 2023 | EMNLP | Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. | Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro |
| 2023 | EMNLP | Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. | Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar |
| 2023 | ICLR | Retrieval-based Controllable Molecule Generation. | Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar |
| 2023 | ICLR | Defending against Adversarial Audio via Diffusion Model. | Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao |
| 2023 | ICLR | DensePure: Understanding Diffusion Models for Adversarial Robustness. | Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song |
| 2023 | ICML | A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification. | Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao |
| 2023 | ICML | CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models. | Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao |
| 2022 | CoRL | Robust Trajectory Prediction against Adversarial Attacks. | Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone |
| 2022 | ECCV | AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. | Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone |
| 2022 | ECCV | SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination. | Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li |
| 2022 | ICLR | RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. | Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar |
| 2022 | ICML | Diffusion Models for Adversarial Purification. | Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Animashree Anandkumar |
| 2022 | ICML | Understanding The Robustness in Vision Transformers. | Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jos M. lvarez |
| 2022 | INFOCOM | Physical-World Attack towards WiFi-based Behavior Recognition. | Jianwei Liu, Yinghui He, Chaowei Xiao, Jinsong Han, Le Cheng, Kui Ren |
| 2021 | EWSN | Application-driven Privacy-preserving Data Publishing with Correlated Attributes. | Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li, Sirajum Munir |
| 2021 | ICCV | Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings? | Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li |
| 2021 | IWQoS | A Behavior Privacy Preserving Method towards RF Sensing. | Jianwei Liu, Chaowei Xiao, Kaiyan Cui, Jinsong Han, Xian Xu, Kui Ren, XuFei Mao |
| 2021 | SP | Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. | Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li |
| 2020 | ECCV | SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing. | Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li |
| 2020 | ICLR | Towards Stable and Efficient Training of Verifiably Robust Neural Networks. | Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh |
| 2019 | CCS | Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving. | Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao |
| 2019 | CVPR | MeshAdv: Adversarial Meshes for Visual Recognition. | Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu |
| 2019 | ICCV | AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. | Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy |
| 2019 | ICDM | Performing Co-membership Attacks Against Deep Generative Models. | Kin Sum Liu, Chaowei Xiao, Bo Li, Jie Gao |
| 2018 | CVPR | Robust Physical-World Attacks on Deep Learning Visual Classification. | Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song |
| 2018 | ECCV | Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. | Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song |
| 2018 | ICLR | Spatially Transformed Adversarial Examples. | Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song |
| 2018 | IJCAI | Generating Adversarial Examples with Adversarial Networks. | Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song |
| 2017 | PAM | Patch Me If You Can: A Study on the Effects of Individual User Behavior on the End-Host Vulnerability State. | Armin Sarabi, Ziyun Zhu, Chaowei Xiao, Mingyan Liu, Tudor Dumitras |
| 2015 | INFOCOM | Static power of mobile devices: Self-updating radio maps for wireless indoor localization. | Chenshu Wu, Zheng Yang, Chaowei Xiao, Chaofan Yang, Yunhao Liu, Mingyan Liu |
| 2014 | MOBICOM | Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices. | Lei Yang, Yekui Chen, Xiang-Yang Li, Chaowei Xiao, Mo Li, Yunhao Liu |