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ORCIDMingyan Liu
- > Home > Persons > Mingyan Liu
Publications
- 2023
[c136]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- 2022
- [c133]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 - [i57]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) - 2021
- [c123]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 - [c122]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 - [i53]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) - 2020
- [c119]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 - 2019
- [c116]Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu:
MeshAdv: Adversarial Meshes for Visual Recognition. CVPR 2019: 6898-6907 - [c114]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 - [i46]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) - [i45]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
- [c108]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 - [c107]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. ICLR (Poster) 2018 - [c105]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. IJCAI 2018: 3905-3911 - [c103]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 - [i43]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. CoRR abs/1801.02610 (2018) - [i42]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. CoRR abs/1801.02612 (2018) - [i39]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) - [i38]Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu:
Realistic Adversarial Examples in 3D Meshes. CoRR abs/1810.05206 (2018)
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