Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2101.06232
Cited By
Towards interpreting ML-based automated malware detection models: a survey
15 January 2021
Yuzhou Lin
Xiaolin Chang
Re-assign community
ArXiv
PDF
HTML
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
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
Hanjie Chen
Guangtao Zheng
Yangfeng Ji
FAtt
74
94
0
04 Apr 2020
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
Muhammad Ikram
Pierrick Beaume
M. Kâafar
41
33
0
22 May 2019
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
Tomi Peltola
FAtt
BDL
45
39
0
05 Oct 2018
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
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
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
120
3,938
0
06 Feb 2018
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
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
98
2,348
0
01 Nov 2017
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
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"
B. Goodman
Seth Flaxman
FaML
AILaw
63
1,897
0
28 Jun 2016
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
166
3,685
0
10 Jun 2016
1