Adversarial Attacks on Neural Network Policies

8 February 2017

Sandy Huang

Pieter Abbeel

Papers citing "Adversarial Attacks on Neural Network Policies"

34 / 434 papers shown

Title
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 188 797 0 30 Apr 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 61 391 0 18 Apr 2018
Invisible Mask: Practical Attacks on Face Recognition with Infrared Zhe Zhou Di Tang Xiaofeng Wang Weili Han Xiangyu Liu Kehuan Zhang CVBM AAML 68 103 0 13 Mar 2018
Stochastic Activation Pruning for Robust Adversarial Defense Guneet Singh Dhillon Kamyar Azizzadenesheli Zachary Chase Lipton Jeremy Bernstein Jean Kossaifi Aran Khanna Anima Anandkumar AAML 94 548 0 05 Mar 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 96 45 0 23 Feb 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 85 228 0 19 Feb 2018
DARTS: Deceiving Autonomous Cars with Toxic Signs Chawin Sitawarin A. Bhagoji Arsalan Mosenia M. Chiang Prateek Mittal AAML 117 236 0 18 Feb 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks J. Uesato Brendan O'Donoghue Aaron van den Oord Pushmeet Kohli AAML 179 606 0 15 Feb 2018
Fooling OCR Systems with Adversarial Text Images Congzheng Song Vitaly Shmatikov AAML 61 51 0 15 Feb 2018
Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints Di Tang Xiaofeng Wang Kehuan Zhang AAML 67 1 0 13 Feb 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 101 1,083 0 05 Jan 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 149 1,043 0 02 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 144 1,873 0 02 Jan 2018
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger Vahid Behzadan Arslan Munir AAML 95 67 0 23 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 131 1,628 0 19 Dec 2017
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 80 308 0 11 Dec 2017
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 140 255 0 27 Nov 2017
Hardening Quantum Machine Learning Against Adversaries N. Wiebe Ramnath Kumar AAML 63 20 0 17 Nov 2017
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight Yen-Chen Lin Ming-Yuan Liu Min Sun Jia-Bin Huang AAML 93 48 0 02 Oct 2017
Fooling Vision and Language Models Despite Localization and Attention Mechanism Xiaojun Xu Xinyun Chen Chang-rui Liu Anna Rohrbach Trevor Darrell Basel Alomair AAML 99 41 0 25 Sep 2017
How intelligent are convolutional neural networks? Zhennan Yan Xiangmin Zhou 64 11 0 18 Sep 2017
Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models Han S. Lee Heechul Jung Alex A. Agarwal Junmo Kim 85 6 0 12 Sep 2017
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning M. Lotfollahi Ramin Shirali Hossein Zade Mahdi Jafari Siavoshani Mohammdsadegh Saberian 55 836 0 08 Sep 2017
Learning Universal Adversarial Perturbations with Generative Models Jamie Hayes G. Danezis AAML 84 54 0 17 Aug 2017
Robust Physical-World Attacks on Deep Learning Models Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Chaowei Xiao Atul Prakash Tadayoshi Kohno Basel Alomair AAML 128 595 0 27 Jul 2017
Towards Crafting Text Adversarial Samples Suranjana Samanta S. Mehta AAML 85 222 0 10 Jul 2017
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong Warren He James Wei Xinyun Chen Nicholas Carlini Basel Alomair AAML 111 242 0 15 Jun 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 148 762 0 09 Jun 2017
Delving into adversarial attacks on deep policies Jernej Kos Basel Alomair AAML 72 228 0 18 May 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Li-Wei Chen Michael E. Kounavis Duen Horng Chau AAML 89 307 0 08 May 2017
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu Melanie Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 76 498 0 03 May 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 113 558 0 11 Apr 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 130 418 0 08 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 309 1,549 0 25 Jan 2017