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
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 89 48 0 19 Feb 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning Arthur Juliani Ahmed Khalifa Vincent-Pierre Berges Jonathan Harper Ervin Teng Hunter Henry A. Crespi Julian Togelius Danny Lange 75 144 0 04 Feb 2019
Augmenting Model Robustness with Transformation-Invariant Attacks Houpu Yao Zhe Wang Guangyu Nie Yassine Mazboudi Yezhou Yang Yi Ren AAML OOD 31 3 0 31 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 175 2,566 0 24 Jan 2019
Multi-Label Adversarial Perturbations Qingquan Song Haifeng Jin Xiao Huang Helen Zhou AAML 63 37 0 02 Jan 2019
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan Marta Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 130 51 0 18 Dec 2018
Measuring and Characterizing Generalization in Deep Reinforcement Learning Sam Witty Jun Ki Lee Emma Tosch Akanksha Atrey Michael Littman David D. Jensen OffRL 68 60 0 07 Dec 2018
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 102 82 0 04 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 276 285 0 03 Dec 2018
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies Keuntaek Lee Ziyi Wang Bogdan I. Vlahov Harleen K. Brar Evangelos A. Theodorou BDL UQCV 92 29 0 30 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 87 119 0 26 Nov 2018
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles Edward Grefenstette Robert Stanforth Brendan O'Donoghue J. Uesato G. Swirszcz Pushmeet Kohli AAML 80 18 0 22 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 124 420 0 19 Nov 2018
A Statistical Approach to Assessing Neural Network Robustness Stefan Webb Tom Rainforth Yee Whye Teh M. P. Kumar AAML 72 83 0 17 Nov 2018
An Optimal Control View of Adversarial Machine Learning Xiaojin Zhu AAML 47 25 0 11 Nov 2018
Semidefinite relaxations for certifying robustness to adversarial examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 111 439 0 02 Nov 2018
Adversarial Attacks on Stochastic Bandits Kwang-Sung Jun Lihong Li Yuzhe Ma Xiaojin Zhu AAML 373 124 0 29 Oct 2018
Towards Robust Deep Neural Networks Timothy E. Wang Jack Gu D. Mehta Xiaojun Zhao Edgar A. Bernal OOD 90 11 0 27 Oct 2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning Vahid Behzadan Arslan Munir 80 27 0 23 Oct 2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy Jingkang Wang R. Jia Gerald Friedland Yangqiu Song C. Spanos AAML 32 4 0 23 Oct 2018
A Training-based Identification Approach to VIN Adversarial Examples Yingdi Wang Wenjia Niu Tong Chen Yingxiao Xiang Jingjing Liu Gang Li Jiqiang Liu AAML GAN 33 0 0 18 Oct 2018
Security Matters: A Survey on Adversarial Machine Learning Guofu Li Pengjia Zhu Jin Li Zhemin Yang Ning Cao Zhiyi Chen AAML 90 25 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 191 144 0 15 Oct 2018
Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System Ankit Shah Arunesh Sinha R. Ganesan S. Jajodia H. Çam AAML 14 5 0 13 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Reinforcement Learning with Perturbed Rewards Jingkang Wang Yang Liu Yue Liu NoLa 93 131 0 02 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 74 67 0 30 Sep 2018
Knowledge-guided Semantic Computing Network Guangming Shi Zhongqiang Zhang Dahua Gao Xuemei Xie Yihao Feng Xinrui Ma Danhua Liu 39 10 0 29 Sep 2018
Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks Abhishek Gupta Zhaoyuan Yang AAML 30 7 0 15 Sep 2018
Towards Better Interpretability in Deep Q-Networks Raghuram Mandyam Annasamy Katia Sycara FAtt 52 59 0 15 Sep 2018
Coordination-driven learning in multi-agent problem spaces Sean L. Barton Nicholas R. Waytowich Derrik E. Asher 26 5 0 13 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 57 234 0 13 Sep 2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer Alvin Chan Lei Ma Felix Juefei Xu Xiaofei Xie Yang Liu Yew-Soon Ong OOD AAML 59 17 0 07 Sep 2018
Reinforcement Learning under Threats Víctor Gallego Roi Naveiro D. Insua AAML 80 26 0 05 Sep 2018
Data Poisoning Attacks against Online Learning Yizhen Wang Kamalika Chaudhuri AAML 76 93 0 27 Aug 2018
Are You Tampering With My Data? Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Manuel Bouillon Mathias Seuret Rolf Ingold Marcus Liwicki AAML 107 19 0 21 Aug 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 55 69 0 17 Aug 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 143 79 0 31 Jul 2018
One-Shot Generation of Near-Optimal Topology through Theory-Driven Machine Learning Ruijin Cang Hope Yao Yi Ren 42 0 0 27 Jul 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 104 117 0 21 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 115 44 0 16 Jul 2018
Adaptive Adversarial Attack on Scene Text Recognition Xiaoyong Yuan Pan He Xiaolin Li Dapeng Oliver Wu AAML 73 23 0 09 Jul 2018
Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness Priyadarshini Panda Kaushik Roy AAML 50 4 0 05 Jul 2018
Adversarial Reprogramming of Neural Networks Gamaleldin F. Elsayed Ian Goodfellow Jascha Narain Sohl-Dickstein OOD AAML 55 183 0 28 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 73 7 0 19 Jun 2018
PAC-learning in the presence of evasion adversaries Daniel Cullina A. Bhagoji Prateek Mittal AAML 90 55 0 05 Jun 2018
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise Vahid Behzadan Arslan Munir AAML 71 21 0 04 Jun 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 399 48 1 31 May 2018
Multi-Layered Gradient Boosting Decision Trees Ji Feng Yang Yu Zhi Zhou AI4CE 184 120 0 31 May 2018
On Visual Hallmarks of Robustness to Adversarial Malware Alex Huang Abdullah Al-Dujaili Erik Hemberg Una-May O’Reilly AAML 69 7 0 09 May 2018