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2020 – today
- 2023
[j3]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): 157:1-157:38 (2023)- [j2]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): 784-796 (2023) - [c44]Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran:
Defending against Insertion-based Textual Backdoor Attacks via Attribution. ACL (Findings) 2023: 8818-8833 - [c43]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: 9087-9098 - [c42]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: 16363-16372 - [c41]Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar:
Retrieval-based Controllable Molecule Generation. ICLR 2023 - [c40]Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao:
Defending against Adversarial Audio via Diffusion Model. ICLR 2023 - [c39]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 - [c38]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: 33100-33114 - [c37]Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao:
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models. ICML 2023: 40373-40389 - [c36]Zhiyuan Yu, Yuanhaur Chang, Ning Zhang, Chaowei Xiao:
SMACK: Semantically Meaningful Adversarial Audio Attack. USENIX Security Symposium 2023 - [c35]Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li:
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing. USENIX Security Symposium 2023 - [i52]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 abs/2302.04611 (2023) - [i51]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 abs/2302.04858 (2023) - [i50]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 abs/2302.06637 (2023) - [i49]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. CoRR abs/2302.12251 (2023) - [i48]Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao:
Defending against Adversarial Audio via Diffusion Model. CoRR abs/2303.01507 (2023) - [i47]Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar:
Prismer: A Vision-Language Model with An Ensemble of Experts. CoRR abs/2303.02506 (2023) - [i46]Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang:
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling. CoRR abs/2303.17080 (2023) - [i45]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 abs/2303.18191 (2023) - [i44]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 abs/2304.06762 (2023) - [i43]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 abs/2304.14475 (2023) - [i42]Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran:
Defending against Insertion-based Textual Backdoor Attacks via Attribution. CoRR abs/2305.02394 (2023) - [i41]Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen:
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. CoRR abs/2305.14710 (2023) - [i40]Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen:
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE. CoRR abs/2305.14910 (2023) - [i39]Jiongxiao Wang, Zichen Liu, Keun Hee Park, Muhao Chen, Chaowei Xiao:
Adversarial Demonstration Attacks on Large Language Models. CoRR abs/2305.14950 (2023) - [i38]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 abs/2305.16291 (2023) - [i37]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 abs/2305.18090 (2023) - [i36]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 abs/2306.00349 (2023) - [i35]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 abs/2306.15742 (2023) - [i34]Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein:
On the Exploitability of Instruction Tuning. CoRR abs/2306.17194 (2023) - [i33]Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li:
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing. CoRR abs/2308.14333 (2023) - [i32]Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone:
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. CoRR abs/2309.00709 (2023) - [i31]Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew Stamm, Kaidi Xu:
Semantic Adversarial Attacks via Diffusion Models. CoRR abs/2309.07398 (2023) - 2022
- [c34]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: 1010-1018 - [c33]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRL 2022: 128-137 - [c32]Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone:
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. ECCV (5) 2022: 36-52 - [c31]Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li:
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination. ECCV (5) 2022: 139-155 - [c30]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 - [c29]Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Animashree Anandkumar:
Diffusion Models for Adversarial Purification. ICML 2022: 16805-16827 - [c28]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. ICML 2022: 27378-27394 - [c27]Jianwei Liu, Yinghui He, Chaowei Xiao, Jinsong Han, Le Cheng, Kui Ren:
Physical-World Attack towards WiFi-based Behavior Recognition. INFOCOM 2022: 400-409 - [c26]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. NeurIPS 2022 - [c25]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 - [i30]Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, Z. Morley Mao:
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions. CoRR abs/2201.12296 (2022) - [i29]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 abs/2202.04173 (2022) - [i28]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. CoRR abs/2204.11167 (2022) - [i27]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. CoRR abs/2204.12451 (2022) - [i26]Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar:
Diffusion Models for Adversarial Purification. CoRR abs/2205.07460 (2022) - [i25]Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li:
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination. CoRR abs/2207.12263 (2022) - [i24]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRR abs/2208.00094 (2022) - [i23]Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao:
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition. CoRR abs/2208.09801 (2022) - [i22]Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar:
Retrieval-based Controllable Molecule Generation. CoRR abs/2208.11126 (2022) - [i21]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 abs/2209.07511 (2022) - [i20]Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone:
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. CoRR abs/2209.08744 (2022) - [i19]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 abs/2211.00322 (2022) - [i18]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 abs/2212.10789 (2022) - 2021
- [c24]Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li, Sirajum Munir:
Application-driven Privacy-preserving Data Publishing with Correlated Attributes. EWSN 2021: 91-102 - [c23]Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li:
Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings? ICCV 2021: 7506-7515 - [c22]Jianwei Liu, Chaowei Xiao, Kaiyan Cui, Jinsong Han, Xian Xu, Kui Ren, XuFei Mao:
A Behavior Privacy Preserving Method towards RF Sensing. IWQoS 2021: 1-10 - [c21]Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar:
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia 2021: 5686-5687 - [c20]Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang:
AugMax: Adversarial Composition of Random Augmentations for Robust Training. NeurIPS 2021: 237-250 - [c19]Jiachen Sun, Yulong Cao, Christopher B. Choy, Zhiding Yu, Anima Anandkumar, Zhuoqing Morley Mao, Chaowei Xiao:
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions. NeurIPS 2021: 15498-15512 - [c18]Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro:
Long-Short Transformer: Efficient Transformers for Language and Vision. NeurIPS 2021: 17723-17736 - [c17]Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li:
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. SP 2021: 176-194 - [e1]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i17]Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa:
Practical Machine Learning Safety: A Survey and Primer. CoRR abs/2106.04823 (2021) - [i16]Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li:
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. CoRR abs/2106.09249 (2021) - [i15]Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro:
Long-Short Transformer: Efficient Transformers for Language and Vision. CoRR abs/2107.02192 (2021) - [i14]Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg:
Auditing AI models for Verified Deployment under Semantic Specifications. CoRR abs/2109.12456 (2021) - [i13]Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang:
AugMax: Adversarial Composition of Random Augmentations for Robust Training. CoRR abs/2110.13771 (2021) - 2020
- [b1]Chaowei Xiao:
Machine Learning in Adversarial Environments. University of Michigan, USA, 2020 - [c16]Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li:
SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing. ECCV (14) 2020: 19-37 - [c15]Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh:
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. ICLR 2020 - [c14]Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh:
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations. NeurIPS 2020 - [i12]Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh:
Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations. CoRR abs/2003.08938 (2020)
2010 – 2019
- 2019
- [c13]Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao:
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving. CCS 2019: 2267-2281 - [c12]Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu:
MeshAdv: Adversarial Meshes for Visual Recognition. CVPR 2019: 6898-6907 - [c11]Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy:
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. ICCV 2019: 3967-3976 - [c10]Kin Sum Liu, Chaowei Xiao, Bo Li, Jie Gao:
Performing Co-membership Attacks Against Deep Generative Models. ICDM 2019: 459-467 - [c9]Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Ning Zhang, Yevgeniy Vorobeychik:
Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features. USENIX Security Symposium 2019: 285-302 - [i11]Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh:
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. CoRR abs/1906.06316 (2019) - [i10]Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li:
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing. CoRR abs/1906.07927 (2019) - [i9]Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li:
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems. CoRR abs/1907.05418 (2019) - [i8]Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao:
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving. CoRR abs/1907.06826 (2019) - [i7]Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song:
Characterizing Attacks on Deep Reinforcement Learning. CoRR abs/1907.09470 (2019) - 2018
- [j1]Chenshu Wu, Zheng Yang, Chaowei Xiao:
Automatic Radio Map Adaptation for Indoor Localization Using Smartphones. IEEE Trans. Mob. Comput. 17(3): 517-528 (2018) - [c8]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song:
Robust Physical-World Attacks on Deep Learning Visual Classification. CVPR 2018: 1625-1634 - [c7]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. ECCV (10) 2018: 220-237 - [c6]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. ICLR (Poster) 2018 - [c5]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. IJCAI 2018: 3905-3911 - [c4]Chaowei Xiao, Armin Sarabi, Yang Liu, Bo Li, Mingyan Liu, Tudor Dumitras:
From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild. USENIX Security Symposium 2018: 903-918 - [i6]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. CoRR abs/1801.02610 (2018) - [i5]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. CoRR abs/1801.02612 (2018) - [i4]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. CoRR abs/1810.05162 (2018) - [i3]Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu:
Realistic Adversarial Examples in 3D Meshes. CoRR abs/1810.05206 (2018) - [i2]Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen, Dawn Song:
Data Poisoning Attack against Unsupervised Node Embedding Methods. CoRR abs/1810.12881 (2018) - [i1]Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li:
Protecting Sensitive Attributes via Generative Adversarial Networks. CoRR abs/1812.10193 (2018) - 2017
- [c3]Armin Sarabi, Ziyun Zhu, Chaowei Xiao, Mingyan Liu, Tudor Dumitras:
Patch Me If You Can: A Study on the Effects of Individual User Behavior on the End-Host Vulnerability State. PAM 2017: 113-125 - 2015
- [c2]Chenshu Wu, Zheng Yang, Chaowei Xiao, Chaofan Yang, Yunhao Liu, Mingyan Liu:
Static power of mobile devices: Self-updating radio maps for wireless indoor localization. INFOCOM 2015: 2497-2505 - 2014
- [c1]Lei Yang, Yekui Chen, Xiang-Yang Li, Chaowei Xiao, Mo Li, Yunhao Liu:
Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices. MobiCom 2014: 237-248
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