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CopyCAT: Taking Control of Neural Policies with Constant Attacks

CopyCAT: Taking Control of Neural Policies with Constant Attacks

29 May 2019
Léonard Hussenot
M. Geist
Olivier Pietquin
    AAML
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Papers citing "CopyCAT: Taking Control of Neural Policies with Constant Attacks"

3 / 3 papers shown
Title
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
44
5
0
11 Jan 2023
Towards Resilient Artificial Intelligence: Survey and Research Issues
Towards Resilient Artificial Intelligence: Survey and Research Issues
Oliver Eigner
Sebastian Eresheim
Peter Kieseberg
Lukas Daniel Klausner
Martin Pirker
Torsten Priebe
S. Tjoa
Fiammetta Marulli
F. Mercaldo
AI4CE
27
18
0
18 Sep 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
353
5,849
0
08 Jul 2016
1