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Effectiveness of Adversarial Examples and Defenses for Malware
  Classification

Effectiveness of Adversarial Examples and Defenses for Malware Classification

10 September 2019
Robert Podschwadt
Hassan Takabi
    AAML
ArXivPDFHTML

Papers citing "Effectiveness of Adversarial Examples and Defenses for Malware Classification"

5 / 5 papers shown
Title
StratDef: Strategic Defense Against Adversarial Attacks in ML-based
  Malware Detection
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
29
6
0
15 Feb 2022
Deep Learning for Android Malware Defenses: a Systematic Literature
  Review
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Yue Liu
Chakkrit Tantithamthavorn
Li Li
Yepang Liu
AAML
35
77
0
09 Mar 2021
MAB-Malware: A Reinforcement Learning Framework for Attacking Static
  Malware Classifiers
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
Wei Song
Xuezixiang Li
Sadia Afroz
D. Garg
Dmitry Kuznetsov
Heng Yin
AAML
55
27
0
06 Mar 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
312
3,115
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
359
5,849
0
08 Jul 2016
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