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Instance Attack:An Explanation-based Vulnerability Analysis Framework
  Against DNNs for Malware Detection

Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection

6 September 2022
Ruijin Sun
Shize Guo
Jinhong Guo
Changyou Xing
Luming Yang
Xi Guo
Zhisong Pan
    AAML
ArXivPDFHTML

Papers citing "Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection"

3 / 3 papers shown
Title
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
197
260
0
18 Apr 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
40
27
0
06 Mar 2020
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
148
424
0
16 Apr 2018
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