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Spatiotemporal Attacks for Embodied Agents

Spatiotemporal Attacks for Embodied Agents

19 May 2020
Aishan Liu
Tairan Huang
Xianglong Liu
Yitao Xu
Yuqing Ma
Xinyun Chen
Stephen J. Maybank
Dacheng Tao
    AAML
ArXivPDFHTML

Papers citing "Spatiotemporal Attacks for Embodied Agents"

7 / 7 papers shown
Title
Adversarial Policies: Attacking Deep Reinforcement Learning
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
44
350
0
25 May 2019
Generalizable Data-free Objective for Crafting Universal Adversarial
  Perturbations
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations
Konda Reddy Mopuri
Aditya Ganeshan
R. Venkatesh Babu
AAML
74
205
0
24 Jan 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
50
1,093
0
27 Dec 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
77
1,050
0
06 Nov 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
440
3,124
0
04 Nov 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
140
14,831
1
21 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
58
2,992
0
19 Jul 2012
1