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Balancing detectability and performance of attacks on the control
  channel of Markov Decision Processes

Balancing detectability and performance of attacks on the control channel of Markov Decision Processes

15 September 2021
Alessio Russo
Alexandre Proutiere
    AAML
ArXiv (abs)PDFHTML

Papers citing "Balancing detectability and performance of attacks on the control channel of Markov Decision Processes"

3 / 3 papers shown
Title
Learning-Based Latency-Constrained Fronthaul Compression Optimization in
  C-RAN
Learning-Based Latency-Constrained Fronthaul Compression Optimization in C-RANIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (MDCLN), 2023
Axel Grönland
Bleron Klaiqi
Xavier Gelabert
79
1
0
07 Nov 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and
  Provable Defense in RL
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RLInternational Conference on Learning Representations (ICLR), 2023
Xiangyu Liu
Souradip Chakraborty
Yanchao Sun
Furong Huang
AAML
257
8
0
27 May 2023
Illusory Attacks: Information-Theoretic Detectability Matters in
  Adversarial Attacks
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial AttacksInternational Conference on Learning Representations (ICLR), 2022
Tim Franzmeyer
Stephen McAleer
João F. Henriques
Jakob N. Foerster
Juil Sock
Adel Bibi
Christian Schroeder de Witt
AAML
227
12
0
20 Jul 2022
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