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A Framework for Enhancing Deep Neural Networks Against Adversarial
  Malware

A Framework for Enhancing Deep Neural Networks Against Adversarial Malware

15 April 2020
Deqiang Li
Qianmu Li
Yanfang Ye
Shouhuai Xu
    AAML
ArXivPDFHTML

Papers citing "A Framework for Enhancing Deep Neural Networks Against Adversarial Malware"

7 / 7 papers shown
Title
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems
Mostafa Jafari
Alireza Shameli-Sendi
AAML
26
0
0
14 May 2025
PAD: Towards Principled Adversarial Malware Detection Against Evasion
  Attacks
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Deqiang Li
Shicheng Cui
Yun Li
Jia Xu
Fu Xiao
Shouhuai Xu
AAML
54
18
0
22 Feb 2023
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
24
6
0
15 Feb 2022
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box
  Android Malware Detection
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection
Hamid Bostani
Veelasha Moonsamy
AAML
38
51
0
07 Oct 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,113
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,847
0
08 Jul 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
220
7,929
0
17 Aug 2015
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