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HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural
  Networks against Adversarial Malware Samples

HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples

18 September 2018
Deqiang Li
Ramesh Baral
Tao Li
Han Wang
Qianmu Li
Shouhuai Xu
    AAML
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Papers citing "HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples"

3 / 3 papers shown
Title
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
48
18
0
22 Feb 2023
Anomalous Example Detection in Deep Learning: A Survey
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu
B. Kailkhura
Bo-wen Li
P. Varshney
D. Song
AAML
28
47
0
16 Mar 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
1