Adversarial Attacks on Neural Network Policies

8 February 2017

Sandy Huang

Pieter Abbeel

Papers citing "Adversarial Attacks on Neural Network Policies"

22 / 22 papers shown

Title
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Juan Carlos Climent Pardo 52 0 0 24 Apr 2025
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 56 4 0 19 May 2024
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 51 73 0 07 Aug 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 77 62 0 17 Mar 2020
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 65 2,140 0 21 Aug 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks Vahid Behzadan Arslan Munir AAML SILM 38 275 0 16 Jan 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 40 472 0 11 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 420 3,124 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 463 5,868 0 08 Jul 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 143 5,048 0 05 Jun 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 24 4,153 0 25 Apr 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 51 1,689 0 22 Apr 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 15 3,656 0 08 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 134 8,805 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 97 13,174 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 136 3,418 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 206 6,722 0 19 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 95 18,922 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 45 14,831 1 21 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 41 12,163 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 38 2,989 0 19 Jul 2012
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 43 1,580 0 27 Jun 2012