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A Survey of Game Theoretic Approaches for Adversarial Machine Learning
  in Cybersecurity Tasks

A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks

4 December 2019
P. Dasgupta
J. B. Collins
    AAML
ArXiv (abs)PDFHTML

Papers citing "A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks"

3 / 3 papers shown
Title
Effectiveness of Moving Target Defenses for Adversarial Attacks in
  ML-based Malware Detection
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
55
2
0
01 Feb 2023
On the Convergence of Fictitious Play: A Decomposition Approach
On the Convergence of Fictitious Play: A Decomposition Approach
Yurong Chen
Xiaotie Deng
Chenchen Li
D. Mguni
Jun Wang
Xiang Yan
Yaodong Yang
92
4
0
03 May 2022
Adversarial Example Detection for DNN Models: A Review and Experimental
  Comparison
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Ahmed Aldahdooh
W. Hamidouche
Sid Ahmed Fezza
Olivier Déforges
AAML
233
128
0
01 May 2021
1