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1907.09470
Cited By
Characterizing Attacks on Deep Reinforcement Learning
21 July 2019
Xinlei Pan
Chaowei Xiao
Warren He
Shuang Yang
Jian Peng
Mingjie Sun
Jinfeng Yi
Zijiang Yang
Mingyan D. Liu
Yue Liu
D. Song
AAML
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Papers citing
"Characterizing Attacks on Deep Reinforcement Learning"
29 / 29 papers shown
Title
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation
Xinlei Pan
Tingnan Zhang
Brian Ichter
Aleksandra Faust
Jie Tan
Sehoon Ha
89
26
0
27 Sep 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Yue Liu
AAML
48
170
0
19 Jun 2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
60
350
0
25 May 2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
Xinlei Pan
Weiyao Wang
Xiaoshuai Zhang
Yue Liu
Jinfeng Yi
D. Song
MIACV
95
26
0
24 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan
Daniel Seita
Yang Gao
John F. Canny
AAML
32
96
0
31 Mar 2019
Assessing Generalization in Deep Reinforcement Learning
Charles Packer
Katelyn Gao
Jernej Kos
Philipp Krahenbuhl
V. Koltun
D. Song
OffRL
92
235
0
29 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
Chaowei Xiao
Ruizhi Deng
Yue Liu
Feng Yu
M. Liu
D. Song
AAML
33
99
0
11 Oct 2018
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
D. Song
AAML
62
520
0
08 Jan 2018
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao
Yue Liu
Jun-Yan Zhu
Warren He
M. Liu
D. Song
GAN
AAML
101
893
0
08 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
199
8,236
0
04 Jan 2018
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
52
1,864
0
14 Aug 2017
Synthesizing Robust Adversarial Examples
Anish Athalye
Logan Engstrom
Ilya Sutskever
Kevin Kwok
AAML
34
66
0
24 Jul 2017
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
208
18,685
0
20 Jul 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILM
FAtt
80
1,506
1
19 Apr 2017
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan
Yurong You
Ziyan Wang
Cewu Lu
OffRL
46
336
0
13 Apr 2017
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
76
848
0
08 Mar 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
49
411
0
08 Mar 2017
Adversarial Attacks on Neural Network Policies
Sandy Huang
Nicolas Papernot
Ian Goodfellow
Yan Duan
Pieter Abbeel
MLAU
AAML
65
832
0
08 Feb 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
Vahid Behzadan
Arslan Munir
AAML
SILM
50
275
0
16 Jan 2017
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
110
2,520
0
26 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
165
8,513
0
16 Aug 2016
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
49
3,660
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
161
8,805
0
04 Feb 2016
Policy Distillation
Andrei A. Rusu
Sergio Gomez Colmenarejo
Çağlar Gülçehre
Guillaume Desjardins
J. Kirkpatrick
Razvan Pascanu
Volodymyr Mnih
Koray Kavukcuoglu
R. Hadsell
50
687
0
19 Nov 2015
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
186
13,174
0
09 Sep 2015
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
214
3,418
0
02 Apr 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
161
18,922
0
20 Dec 2014
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
98
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
76
2,992
0
19 Jul 2012
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