Adversarial Attacks on Neural Network Policies

8 February 2017

Sandy Huang

Pieter Abbeel

Papers citing "Adversarial Attacks on Neural Network Policies"

50 / 434 papers shown

Title
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations Ke Sun Yingnan Zhao Shangling Jui Linglong Kong OOD 77 17 0 17 Sep 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 61 14 0 16 Sep 2021
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes Alessio Russo Alexandre Proutiere AAML 60 6 0 15 Sep 2021
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder Yao Qiu Jinchao Zhang Jie Zhou AAML SILM 50 17 0 14 Sep 2021
A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems Moein Sabounchi Jin Wei-Kocsis AAML 69 1 0 13 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 89 45 0 07 Sep 2021
Investigating Vulnerabilities of Deep Neural Policies Ezgi Korkmaz AAML 55 34 0 30 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 157 241 0 01 Aug 2021
Benign Adversarial Attack: Tricking Models for Goodness Jitao Sang Xian Zhao Jiaming Zhang Zhiyu Lin AAML SILM 30 3 0 26 Jul 2021
Controlled Caption Generation for Images Through Adversarial Attacks Nayyer Aafaq Naveed Akhtar Wei Liu M. Shah Ajmal Mian AAML 54 10 0 07 Jul 2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning You Qiaoben Chengyang Ying Xinning Zhou Hang Su Jun Zhu Bo Zhang AAML 105 17 0 30 Jun 2021
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions Juan Shu B. Xi Charles A. Kamhoua AAML 100 0 0 30 Jun 2021
Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent Oliver Bryniarski Nabeel Hingun Pedro Pachuca Vincent Wang Nicholas Carlini AAML 82 37 0 28 Jun 2021
DetectX -- Adversarial Input Detection using Current Signatures in Memristive XBar Arrays Abhishek Moitra Priyadarshini Panda AAML 23 6 0 22 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine Soheil Feizi AAML 110 58 0 21 Jun 2021
Towards Distraction-Robust Active Visual Tracking Fangwei Zhong Peng Sun Wenhan Luo Tingyun Yan Yizhou Wang AAML 55 37 0 18 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 85 21 0 17 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Yue Liu AAML OffRL 85 60 0 17 Jun 2021
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses Buse G. A. Tekgul Shelly Wang Samuel Marchal Nadarajah Asokan AAML OffRL 59 6 0 16 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 93 107 0 12 Jun 2021
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun Ruijie Zheng Yongyuan Liang Furong Huang AAML 82 67 0 09 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor Aleksander Madry 118 42 0 07 Jun 2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training Yatong Bai Tanmay Gautam Yujie Gai Somayeh Sojoudi AAML 91 3 0 25 May 2021
Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems Yifan Jia Jingyi Wang Christopher M. Poskitt Sudipta Chattopadhyay Jun Sun Yuqi Chen AAML 70 29 0 22 May 2021
Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control Feng Wang M. C. Gursoy Senem Velipasalar AAML 44 12 0 12 May 2021
Adaptive Adversarial Training for Meta Reinforcement Learning Shiqi Chen Zhengyu Chen Donglin Wang 63 7 0 27 Apr 2021
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network L. Schott H. Hajri Sylvain Lamprier AAML 41 4 0 07 Apr 2021
Robust Reinforcement Learning under model misspecification Lebin Yu Jian Wang Xudong Zhang OOD 59 2 0 29 Mar 2021
Multi-Task Federated Reinforcement Learning with Adversaries Aqeel Anwar A. Raychowdhury AAML FedML 63 21 0 11 Mar 2021
Learning-Based Vulnerability Analysis of Cyber-Physical Systems Amir Khazraei S. Hallyburton Qitong Gao Yu Wang Miroslav Pajic AAML 126 18 0 10 Mar 2021
Center Smoothing: Certified Robustness for Networks with Structured Outputs Aounon Kumar Tom Goldstein OOD AAML UQCV 84 19 0 19 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 59 15 0 18 Feb 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 80 37 0 16 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 95 138 0 14 Feb 2021
Disturbing Reinforcement Learning Agents with Corrupted Rewards Rubén Majadas Javier A. García Fernando Fernández AAML 73 6 0 12 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 92 27 0 10 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 192 496 0 02 Feb 2021
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs Xinwei Zhao Matthew C. Stamm AAML 41 4 0 26 Jan 2021
Adaptive Neighbourhoods for the Discovery of Adversarial Examples Jay Morgan A. Paiement A. Pauly Monika Seisenberger AAML 26 1 0 22 Jan 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 115 168 0 21 Jan 2021
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data F. Cartella Orlando Anunciação Yuki Funabiki D. Yamaguchi Toru Akishita Olivier Elshocht AAML 133 79 0 20 Jan 2021
Adversarial Attacks On Multi-Agent Communication James Tu Tsun-Hsuan Wang Jingkang Wang S. Manivasagam Mengye Ren R. Urtasun AAML 155 60 0 17 Jan 2021
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning Stefanos Tsimenidis 102 13 0 22 Dec 2020
Generating Adversarial Disturbances for Controller Verification Udaya Ghai David Snyder Anirudha Majumdar Elad Hazan 67 9 0 12 Dec 2020
An Empirical Review of Adversarial Defenses Ayush Goel AAML 32 0 0 10 Dec 2020
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect Athena Sayles Ashish Hooda M. Gupta Rahul Chatterjee Earlence Fernandes AAML 85 78 0 26 Nov 2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 82 29 0 21 Nov 2020
Fault-Aware Robust Control via Adversarial Reinforcement Learning Fan Yang Chao Yang Di Guo Huaping Liu F. Sun 61 4 0 17 Nov 2020
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents Xian Yeow Lee Yasaman Esfandiari Kai Liang Tan Soumik Sarkar AAML 77 33 0 13 Nov 2020
Adversarial Skill Learning for Robust Manipulation Pingcheng Jian Chao Yang Di Guo Huaping Liu F. Sun AAML 60 7 0 06 Nov 2020