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
Reporting on Decision-Making Algorithms and some Related Ethical Questions B. Otjacques 11 0 0 04 Nov 2019
Online Robustness Training for Deep Reinforcement Learning Marc Fischer M. Mirman Steven Stalder Martin Vechev OnRL 102 41 0 03 Nov 2019
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection Lingchen Zhao Shengshan Hu Qian Wang Jianlin Jiang Chao Shen Xiangyang Luo Pengfei Hu AAML 72 96 0 29 Oct 2019
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 98 95 0 28 Oct 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 120 103 0 16 Oct 2019
Policy Poisoning in Batch Reinforcement Learning and Control Yuzhe Ma Xuezhou Zhang Wen Sun Xiaojin Zhu AAML OffRL 88 115 0 13 Oct 2019
Deep Latent Defence Giulio Zizzo C. Hankin S. Maffeis K. Jones AAML 45 2 0 09 Oct 2019
Adversarial Learning of Deepfakes in Accounting Marco Schreyer Timur Sattarov Bernd Reimer Damian Borth AAML 58 26 0 09 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 144 19 0 08 Oct 2019
Library network, a possible path to explainable neural networks J. H. Lee AAML AI4CE 18 0 0 29 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 70 94 0 26 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 89 105 0 25 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 79 680 0 17 Sep 2019
Say What I Want: Towards the Dark Side of Neural Dialogue Models Haochen Liu Hanyu Wang Zitao Liu Jiliang Tang 91 16 0 13 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 82 28 0 06 Sep 2019
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents Xian Yeow Lee Sambit Ghadai Kai Liang Tan Chinmay Hegde Soumik Sarkar AAML 78 51 0 05 Sep 2019
Universal, transferable and targeted adversarial attacks Junde Wu Rao Fu AAML SILM 85 10 0 29 Aug 2019
Opponent Aware Reinforcement Learning Víctor Gallego Roi Naveiro D. Insua D. Gómez‐Ullate 21 7 0 22 Aug 2019
Density estimation in representation space to predict model uncertainty Tiago Ramalho M. Corbalan UQCV BDL 57 40 0 20 Aug 2019
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation Yuh-Shyang Wang Tsui-Wei Weng Luca Daniel AAML 57 16 0 18 Aug 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies Felix M. Strnad W. Barfuss J. Donges J. Heitzig 50 25 0 15 Aug 2019
AdvGAN++ : Harnessing latent layers for adversary generation Puneet Mangla Surgan Jandial Sakshi Varshney V. Balasubramanian GAN 81 69 0 02 Aug 2019
Optimal Attacks on Reinforcement Learning Policies Alessio Russo Alexandre Proutiere AAML 65 42 0 31 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Yue Liu Basel Alomair AAML 95 70 0 21 Jul 2019
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary Soumik Sarkar AAML 68 5 0 28 Jun 2019
Perceptual Based Adversarial Audio Attacks Joseph Szurley J. Zico Kolter AAML 47 25 0 14 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad Yangqiu Song AAML 70 37 0 09 Jun 2019
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies Vahid Behzadan W. Hsu AAML OffRL 66 9 0 03 Jun 2019
A Surprising Density of Illusionable Natural Speech M. Guan Gregory Valiant AAML 26 3 0 03 Jun 2019
CopyCAT: Taking Control of Neural Policies with Constant Attacks Léonard Hussenot Matthieu Geist Olivier Pietquin AAML 42 30 0 29 May 2019
Snooping Attacks on Deep Reinforcement Learning Matthew J. Inkawhich Yiran Chen Hai Helen Li AAML 62 25 0 28 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 96 361 0 25 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 153 53 0 20 May 2019
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning Z. Din P. Tigas Samuel T. King B. Livshits VLM 160 29 0 17 May 2019
Simple Black-box Adversarial Attacks Chuan Guo Jacob R. Gardner Yurong You A. Wilson Kilian Q. Weinberger AAML 78 581 0 17 May 2019
Data Poisoning Attacks on Stochastic Bandits Fang Liu Ness B. Shroff AAML 92 101 0 16 May 2019
Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning Emma Tosch Kaleigh Clary John Foley David D. Jensen OffRL 49 9 0 07 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples Vikash Sehwag A. Bhagoji Liwei Song Chawin Sitawarin Daniel Cullina M. Chiang Prateek Mittal OODD 77 26 0 05 May 2019
Perceptual Attention-based Predictive Control Keuntaek Lee G. N. An Viacheslav Zakharov Evangelos A. Theodorou 70 19 0 26 Apr 2019
Synthesized Policies for Transfer and Adaptation across Tasks and Environments Hexiang Hu Liyu Chen Boqing Gong Fei Sha 48 9 0 05 Apr 2019
Regularizing Trajectory Optimization with Denoising Autoencoders Rinu Boney Norman Di Palo Mathias Berglund Alexander Ilin Arno Solin Antti Rasmus Harri Valpola 56 10 0 28 Mar 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 95 25 0 28 Mar 2019
Rallying Adversarial Techniques against Deep Learning for Network Security Joseph Clements Yuzhe Yang Ankur A Sharma Hongxin Hu Yingjie Lao AAML 80 52 0 27 Mar 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games Devdhar Patel Hananel Hazan D. J. Saunders H. Siegelmann R. Kozma OffRL 31 9 0 26 Mar 2019
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition Yao Qin Nicholas Carlini Ian Goodfellow G. Cottrell Colin Raffel AAML 98 381 0 22 Mar 2019
Adversarial Out-domain Examples for Generative Models Dario Pasquini Marco Mingione M. Bernaschi WIGM SILM AAML 50 6 0 07 Mar 2019
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents Panagiota Kiourti Kacper Wardega Susmit Jha Wenchao Li AAML 63 53 0 01 Mar 2019
Robust Decision Trees Against Adversarial Examples Hongge Chen Huan Zhang Duane S. Boning Cho-Jui Hsieh AAML 132 117 0 27 Feb 2019
Design of intentional backdoors in sequential models Zhaoyuan Yang N. Iyer Johan Reimann Nurali Virani SILM AAML 66 40 0 26 Feb 2019
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence Yi Han David Hubczenko Paul Montague O. Vel Tamas Abraham Benjamin I. P. Rubinstein C. Leckie T. Alpcan S. Erfani AAML 48 6 0 25 Feb 2019