ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.06232
  4. Cited By
Towards interpreting ML-based automated malware detection models: a
  survey

Towards interpreting ML-based automated malware detection models: a survey

15 January 2021
Yuzhou Lin
Xiaolin Chang
ArXivPDFHTML

Papers citing "Towards interpreting ML-based automated malware detection models: a survey"

15 / 15 papers shown
Title
Domain aware medical image classifier interpretation by counterfactual
  impact analysis
Domain aware medical image classifier interpretation by counterfactual impact analysis
Dimitrios Lenis
David Major
M. Wimmer
Astrid Berg
Gert Sluiter
Katja Bühler
OOD
MedIm
40
27
0
13 Jul 2020
Generating Hierarchical Explanations on Text Classification via Feature
  Interaction Detection
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
Hanjie Chen
Guangtao Zheng
Yangfeng Ji
FAtt
74
94
0
04 Apr 2020
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
83
27
0
06 Mar 2020
DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware
  via Weighted Directed Call Graph Modelling
DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware via Weighted Directed Call Graph Modelling
Muhammad Ikram
Pierrick Beaume
M. Kâafar
41
33
0
22 May 2019
The Curious Case of Machine Learning In Malware Detection
The Curious Case of Machine Learning In Malware Detection
Sherif Saad
William Briguglio
H. Elmiligi
AAML
42
45
0
18 May 2019
Local Interpretable Model-agnostic Explanations of Bayesian Predictive
  Models via Kullback-Leibler Projections
Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections
Tomi Peltola
FAtt
BDL
45
39
0
05 Oct 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class
  Models
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models
Jacob R. Kauffmann
K. Müller
G. Montavon
DRL
69
96
0
16 May 2018
Explaining Black-box Android Malware Detection
Explaining Black-box Android Malware Detection
Marco Melis
Davide Maiorca
Battista Biggio
Giorgio Giacinto
Fabio Roli
AAML
FAtt
33
43
0
09 Mar 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
120
3,938
0
06 Feb 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
126
1,490
0
04 Jan 2018
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
98
2,348
0
01 Nov 2017
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
182
3,865
0
10 Apr 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
169
2,878
0
14 Mar 2017
European Union regulations on algorithmic decision-making and a "right
  to explanation"
European Union regulations on algorithmic decision-making and a "right to explanation"
B. Goodman
Seth Flaxman
FaML
AILaw
63
1,897
0
28 Jun 2016
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
166
3,685
0
10 Jun 2016
1