Chaowei Xiao

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 152

Top Venues

CoRR

ICLR

NeurIPS

USENIX Security Symposium

Publications

Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Zhuoqing Mao, Chaowei Xiao
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. ICLR (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. USENIX Security Symposium (2024)
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. ICRA (2024)
Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. CoRR (2024)
Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen
Instructional Fingerprinting of Large Language Models. CoRR (2024)
Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal
AI Risk Management Should Incorporate Both Safety and Security. CoRR (2024)
Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik
Preference Poisoning Attacks on Reward Model Learning. CoRR (2024)
Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar
Differentially Private Video Activity Recognition. WACV (2024)
Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. CoRR (2024)
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar
Voyager: An Open-Ended Embodied Agent with Large Language Models. Trans. Mach. Learn. Res. 2024 (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)
Fangzhou Wu, Ning Zhang, Somesh Jha, Patrick D. McDaniel, Chaowei Xiao
A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems. CoRR (2024)
Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models. ACL (1) (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)
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases. 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)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, 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, John 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, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Lingbo Mo, Zeyi Liao, Boyuan Zheng, Yu Su, Chaowei Xiao, Huan Sun
A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents. CoRR (2024)
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
Can Editing LLMs Inject Harm? CoRR (2024)
Fangzhou Wu, Shutong Wu, Yulong Cao, Chaowei Xiao
WIPI: A New Web Threat for LLM-Driven Web Agents. CoRR (2024)
Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
Conversational Drug Editing Using Retrieval and Domain Feedback. ICLR (2024)
Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, Chaowei Xiao
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness. 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)
Hong Guan, Summer Gautier, Deepti Gupta, Rajan Hari Ambrish, Yancheng Wang, Harsha Lakamsani, Dhanush Giriyan, Saajan Maslanka, Chaowei Xiao, Yingzhen Yang, Jia Zou
A Learning-based Declarative Privacy-Preserving Framework for Federated Data Management. CoRR (2024)
Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen
Instructional Fingerprinting of Large Language Models. NAACL-HLT (2024)
Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. NAACL-HLT (2024)
Jiachen Sun, Changsheng Wang, Jiongxiao Wang, Yiwei Zhang, Chaowei Xiao
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors. CoRR (2024)
Jianwei Liu, Yinghui He, Chaowei Xiao, Jinsong Han, Kui Ren
Time to Think the Security of WiFi-Based Behavior Recognition Systems. IEEE Trans. Dependable Secur. Comput. 21 (1) (2024)
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
Prismer: A Vision-Language Model with Multi-Task Experts. Trans. Mach. Learn. Res. 2024 (2024)
Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE. NAACL-HLT (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)
Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. NAACL-HLT (2024)
Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment. CoRR (2024)
Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Animashree Anandkumar
Multi-modal molecule structure-text model for text-based retrieval and editing. Nat. Mac. Intell. 5 (12) (2023)
Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification. ICML (2023)
Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing. CoRR (2023)
Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR (2023)
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR (2023)
Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. CoRR (2023)
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. CoRR (2023)
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP (2023)
Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
Defending against Adversarial Audio via Diffusion Model. ICLR (2023)
Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar
Retrieval-based Controllable Molecule Generation. ICLR (2023)
Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. CoRR (2023)
Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar
Differentially Private Video Activity Recognition. CoRR (2023)
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
Prismer: A Vision-Language Model with An Ensemble of Experts. CoRR (2023)
Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. EMNLP (Findings) (2023)
Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew Stamm, Kaidi Xu
Semantic Adversarial Attacks via Diffusion Models. CoRR (2023)
Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao
On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. CoRR (2023)
Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Zhuoqing Mao, Chaowei Xiao, Atul Prakash
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation. 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. CVPR (2023)
Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. CoRR (2023)
Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, Jose M. Alvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion. CoRR (2023)
Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran
Defending against Insertion-based Textual Backdoor Attacks via Attribution. CoRR (2023)
Jiongxiao Wang, Zichen Liu, Keun Hee Park, Muhao Chen, Chaowei Xiao
Adversarial Demonstration Attacks on Large Language Models. CoRR (2023)
Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. CVPR (2023)
Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, Chaowei Xiao
Dolphins: Multimodal Language Model for Driving. CoRR (2023)
Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing. USENIX Security Symposium (2023)
Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. CoRR (2023)
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
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) (2023)
Fangzhou Wu, Qingzhao Zhang, Ati Priya Bajaj, Tiffany Bao, Ning Zhang, Ruoyu Wang, Chaowei Xiao
Exploring the Limits of ChatGPT in Software Security Applications. CoRR (2023)
Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE. CoRR (2023)
Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking. CoRR (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)
Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models. ICML (2023)
Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan Ward, Valerie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37 (6) (2023)
Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback. CoRR (2023)
Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein
On the Exploitability of Instruction Tuning. NeurIPS (2023)
Zhiyuan Yu, Yuanhaur Chang, Ning Zhang, Chaowei Xiao
SMACK: Semantically Meaningful Adversarial Audio Attack. USENIX Security Symposium (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)
Zhuoyuan Wu, Jiachen Sun, Chaowei Xiao
CSI: Enhancing the Robustness of 3D Point Cloud Recognition against Corruption. CoRR (2023)
Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein
On the Exploitability of Instruction Tuning. CoRR (2023)
Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu
Semantic Adversarial Attacks via Diffusion Models. BMVC (2023)
Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
Defending against Adversarial Audio via Diffusion Model. CoRR (2023)
Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Z. Morley Mao, Chaowei Xiao
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. CoRR (2023)
Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran
Defending against Insertion-based Textual Backdoor Attacks via Attribution. ACL (Findings) (2023)
Jianwei Liu, Chaowei Xiao, Kaiyan Cui, Jinsong Han, Xian Xu, Kui Ren
Behavior Privacy Preserving in RF Sensing. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar
Voyager: An Open-Ended Embodied Agent with Large Language Models. CoRR (2023)
Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
A Text-guided Protein Design Framework. CoRR (2023)
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
DensePure: Understanding Diffusion Models for Adversarial Robustness. ICLR (2023)
Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. CoRR (2023)
Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa
Taxonomy of Machine Learning Safety: A Survey and Primer. ACM Comput. Surv. 55 (8) (2023)
Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling. CoRR (2023)
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR (2023)
Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. CoRR (2023)
Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song
Characterizing Attacks on Deep Reinforcement Learning. AAMAS (2022)
Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. ICLR (2022)
Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination. ECCV (5) (2022)
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. NeurIPS (2022)
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar
Diffusion Models for Adversarial Purification. CoRR (2022)
Jianwei Liu, Yinghui He, Chaowei Xiao, Jinsong Han, Le Cheng, Kui Ren
Physical-World Attack towards WiFi-based Behavior Recognition. INFOCOM (2022)
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez
Understanding The Robustness in Vision Transformers. ICML (2022)
Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Anima Anandkumar
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. CoRR (2022)
Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models. CoRR (2022)
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. CoRR (2022)
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
DensePure: Understanding Diffusion Models towards Adversarial Robustness. CoRR (2022)
Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. CoRR (2022)

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Chaowei Xiao