Research Overview
Publications
(* represents equal contribution)
2023
- DensePure: Understanding Diffusion Models towards Adversarial Robustness.
Chaowei Xiao*, Zhongzhu Chen*, Kun Jin*, Jiongxiao Wang*, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
- Defending against Adversarial Audio via Diffusion Model
Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie,Chaowei Xiao
- Retrieval-based Controllable Molecule Generation
Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao , Richard Baraniuk, Anima Anandkumar
- Semantically Meaningful Adversarial Audio Attack
Zhiyuan Yu, Yuanhaur Chang, Ning Zhang, Chaowei Xiao
- GenSLMs: Genome-scale language
models reveal SARS-CoV-2 evolutionary dynamics.
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 Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan.
2022
- Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao
- Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro.
- Robust Trajectory Prediction against Adversarial Attacks
Yulong Cao, Danfei Xu, Xinshuo Weng, Z. Morley Mao, Anima Anandkuma, Chaowei Xiao, Marco Pavone
- Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, Yujia Huang,Chaowei Xiao, Arash Vahdat, Anima Anandkumar.
- Understanding the robustness in vision transformers.
Daquan Zhou, Zhiding Yu, Enze Xie,Chaowei Xiao, Anima Anandkumar, Jiashi Feng, Jose M Alvarez.
- AdvDO: Realistic Adversarial Attacks for
Trajectory Prediction
Yulong Cao,Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone.
- SecretGen: Privacy Recovery on Pre-trained Models
Zhuowen Yuan, Fan Wu, Yunhui Long,Chaowei Xiao, Bo Li
- Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni, Zhiding Yu, Chaowei Xiao Jay Yadawa, Haotao Wang and Zhangyang Wang
ACM Computing Survey 2022[pdf]
- 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
- Characterizing Attacks on Deep Reinforcement Learning.
Xinlei Pan*,Chaowei Xiao*, Warren He, Shuang Yang, Peng Jian, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song.
AAMAS 2022 [pdf]
2021
- Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions.
Jiachen Sun, Yulong Cao, Christopher Choy, Zhiding Yu, Anima Anandkumar, Z. Morley Mao, Chaowei Xiao.
NeurIPS 2021
- AugMax: Adversarial Composition of RandomAugmentations for Robust Training.
Haotao Wang,Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, Zhangyang Wang.
NeurIPS 2021
- Efficient Transformers for Language and Vision.
Chen Zhu, Wei Ping,Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro.
NeurIPS 2021 (84.1% Top-1 accuracy solely trained on ImageNet-1K)
- Can Shape Structure Features Improve Model Robustness?
Mingjie Sun*, Zichao Li*,Chaowei Xiao*, Haonan Qiu, Bhavya Kailkhura, MingyanLiu, Bo Li.
ICCV 2021
- 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, RuigangYang, Qi Alfred Chen, Mingyan Liu, Bo Li.
IEEE Symposium on Security and Privacy (Oakland) 2021
- Application-Driven Privacy-Preserving Data Publishing with Correlated Attributes.
Aria Rezaei,Chaowei Xiao, Jie Gao, Bo Li, Sirajum Munir.
Embedded Wireless Systems and Networks (EWSN 2021)Best Paper Award
- Behavior Privacy Perserving in RF Sensing.
Jianwie Liu,Chaowei Xiao, Kaiyan Cui, Jinsong Han, Xian Xu, Kui Ren.
IEEE Transcations on Dependable and Secure Computing. [pdf]
2020
- SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu*, Chaowei Xiao*, Lei Yang*, Xinchen Yan, Honglak Lee, Bo Li.
ECCV 2020
- Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang*, Hongge Chen*, Chaowei Xiao, Bo Li, Mingyan Liu, Duane Boning, Cho-Jui Hsieh.
NeurIPS 2020 (Spotlight).
- Towards Stable and Efficient Training of Verifiably Robust Neural Networks
Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane Boning, Cho-Jui Hsieh.
ICLR 2020.
2019
- AdvIT: Adversarial Frames Identifier Based on Temporal Consistency In Videos
Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Jinfeng Yi, Ian Molloy, Mingyan Liu, Dawn Song
In International Conference on Computer Vision (ICCV) 2019.
- MeshAdv: Adversarial Meshes for Visual Recognition
Chaowei Xiao*, Dawei Yang*, Bo Li, Jia Deng, Mingyan Liu
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019. (Oral presentation) [pdf]
- Performing Co-Membership Attack Against Deep Generative Model
Kin Sum Liu, Chaowie Xiao , Bo Li, Jie Gao
In IEEE International Conference on Data Mining (ICDM) 2019
- Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features
Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Ning Zhang, Yevgeniy Vorobeychik.
In USENIX Security 2019.
- 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. Morely Map
In the 26th ACM Conference on Computer and Communications Security (CCS'19) [pdf]
2018
- Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
Chaowei Xiao, Duizhi Deng, Bo Li, Fisher Yu, Mingyan Liu and Dawn Song
In European Conference on Computer Vision (ECCV), 2018 [pdf][supplementary material]
- Spatially Transformed Adversarial Examples
Chaowei Xiao*, Jun-Yan Zhu*, Bo Li, Warren He, Mingyan Liu and Dawn Song
In International Conference on Learning Representations (ICLR), 2018 [pdf]
- Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu and Dawn Song
In International Joint Conference on Artificial Intelligence (IJCAI), 2018. [pdf]
- From Behavior Similarity to Symptom Similarity: Using Community Detection for Early Discovery of Software Exploits
Chaowei Xiao, Armin Sarabi,Yang Liu , Bo Li, Mingyan Liu and Tudor Dumitras
In USENIX Security Symposium (USENIX Security), 2018 [pdf]
- Robust Physical-World Attacks on Machine Learning Models
Kevin Eykholt*, Ivan Evtimov*, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno and Dawn Song
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [pdf]
Before 2018
- Static Power of Mobile Devices: Self-updating Radio Maps for Wireless Indoor Localization
Chenshu Wu, Zheng Yang, Chaowei Xiao, Chaofan Yang, Yunhao Liu and Mingyan Liu
In IEEE International Conference on Computer Communications (INFOCOM), 2015
- Tagoram: Real-time Tracking of Mobile RFID Tags to High Precision Using COTS Devices.
Lei Yang, Yekui Chen, Xiangyang Li, Chaowei Xiao, Mo Li and Yunhao Liu
In International Conference on Mobile Computing and Networking (MobiCom), 2014. Best Paper Award