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
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 84 8 0 03 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 68 95 0 27 Oct 2020
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks Huimin Zeng Chen Zhu Tom Goldstein Furong Huang AAML 61 18 0 24 Oct 2020
Adversarial Attacks on Deep Algorithmic Trading Policies Yaser Faghan Nancirose Piazza Vahid Behzadan Ali Fathi AAML 21 4 0 22 Oct 2020
Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems Zhehua Zhou Ozgur S. Oguz M. Leibold M. Buss 74 14 0 19 Oct 2020
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things Ling Wang Cheng Zhang Zejian Luo Chenguang Liu Jie Liu Xi Zheng A. Vasilakos AAML 27 3 0 15 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 93 5 0 07 Oct 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues Leila Sedghi Zohaib Ijaz Md. Noor-A.-Rahim K. Witheephanich Dirk Pesch AI4CE 68 16 0 27 Sep 2020
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision S. Mandelli Nicolo Bonettini Paolo Bestagini Stefano Tubaro 54 39 0 25 Sep 2020
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory Jakob Struye Kevin Mets Steven Latré 21 1 0 18 Sep 2020
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness Youwei Liang Dong Huang 46 11 0 17 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 102 64 0 11 Sep 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 112 52 0 02 Sep 2020
Adversary Agnostic Robust Deep Reinforcement Learning Xinghua Qu Yew-Soon Ong Abhishek Gupta Zhu Sun AAML 32 5 0 14 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 113 73 0 07 Aug 2020
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 86 96 0 05 Aug 2020
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning Feng Wang Chen Zhong M. C. Gursoy Senem Velipasalar AAML 45 8 0 12 Jul 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning Xuan Di Rongye Shi 138 177 0 10 Jul 2020
Falsification-Based Robust Adversarial Reinforcement Learning Xiao Wang Saasha Nair Matthias Althoff AAML 55 19 0 01 Jul 2020
Quantifying Differences in Reward Functions Adam Gleave Michael Dennis Shane Legg Stuart J. Russell Jan Leike OffRL 160 68 0 24 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 179 607 0 16 Jun 2020
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems Yuanjiang Cao Xiaocong Chen Lina Yao Xianzhi Wang W. Zhang AAML 60 43 0 14 Jun 2020
Robustness to Adversarial Attacks in Learning-Enabled Controllers Zikang Xiong Joe Eappen He Zhu Suresh Jagannathan AAML 44 5 0 11 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit Kangjie Chen Shangwei Guo Tianwei Zhang Xiaofei Xie Yang Liu MLAU MIACV OffRL 86 45 0 09 Jun 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty T. Jayashankar Jonathan Le Roux P. Moulin AAML 32 17 0 02 Jun 2020
Robust Reinforcement Learning with Wasserstein Constraint Linfang Hou Liang Pang Xin Hong Yanyan Lan Zhiming Ma Dawei Yin 76 25 0 01 Jun 2020
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles Pengyue Wang Yuante Li Shashi Shekhar W. Northrop AAML 57 8 0 01 Jun 2020
Few-Shot Open-Set Recognition using Meta-Learning Bo Liu Hao Kang Haoxiang Li G. Hua Nuno Vasconcelos BDL EDL 68 93 0 27 May 2020
On Intrinsic Dataset Properties for Adversarial Machine Learning J. Z. Pan Nicholas Zufelt AAML 35 1 0 19 May 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun Tianwei Zhang Xiaofei Xie Lei Ma Yan Zheng Kangjie Chen Yang Liu AAML 48 117 0 14 May 2020
Depth-2 Neural Networks Under a Data-Poisoning Attack Sayar Karmakar Anirbit Mukherjee Ramchandran Muthukumar 38 7 0 04 May 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 53 42 0 11 Apr 2020
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for Building Extraction from Aerial Images Younghwan Na Jun Hee Kim Kyungsu Lee Juhum Park J. Hwang Jihwan P. Choi OOD 23 28 0 11 Apr 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 99 125 0 28 Mar 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla Xiaojin Zhu AAML 106 128 0 27 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 176 275 0 19 Mar 2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles Songan Zhang H. Peng S. Nageshrao E. Tseng AAML 54 5 0 18 Mar 2020
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems Yue Wang Esha Sarkar Wenqing Li Michail Maniatakos Saif Eddin Jabari AAML 154 64 0 17 Mar 2020
Deep Adversarial Reinforcement Learning for Object Disentangling Melvin Laux Oleg Arenz Jan Peters Joni Pajarinen DRL 48 3 0 08 Mar 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska Shanghang Zhang A. Leon-Garcia Nicolas Papernot AAML 132 69 0 08 Mar 2020
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning Chao-Han Huck Yang Jun Qi Pin-Yu Chen Ouyang Yi I-Te Danny Hung Chin-Hui Lee Xiaoli Ma AAML 74 29 0 20 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 143 136 0 27 Jan 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions Y. Sagduyu Yi Shi T. Erpek William C. Headley Bryse Flowers G. Stantchev Zhuo Lu AAML 69 39 0 24 Jan 2020
Adversary A3C for Robust Reinforcement Learning Zhaoyuan Gu Zhenzhong Jia Howie Choset AAML 53 24 0 01 Dec 2019
Learning a Decision Module by Imitating Driver's Control Behaviors Junning Huang Sirui Xie Jiankai Sun Gary Qiurui Ma Chunxiao Liu Jianping Shi Dahua Lin Bolei Zhou 80 31 0 30 Nov 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 56 14 0 28 Nov 2019
Band-limited Training and Inference for Convolutional Neural Networks Adam Dziedzic John Paparrizos S. Krishnan Aaron J. Elmore Michael Franklin 75 53 0 21 Nov 2019
Corruption-robust exploration in episodic reinforcement learning Thodoris Lykouris Max Simchowitz Aleksandrs Slivkins Wen Sun 101 105 0 20 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 124 105 0 13 Nov 2019
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy Xinghua Qu Zhu Sun Yew-Soon Ong Abhishek Gupta Pengfei Wei AAML OffRL 102 35 0 10 Nov 2019