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1810.08280
Cited By
Exploring Adversarial Examples in Malware Detection
18 October 2018
Octavian Suciu
Scott E. Coull
Jeffrey Johns
AAML
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Papers citing
"Exploring Adversarial Examples in Malware Detection"
25 / 25 papers shown
Title
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
Hangsheng Zhang
Jiqiang Liu
Jinsong Dong
AAML
21
1
0
20 Jan 2024
High-resolution Image-based Malware Classification using Multiple Instance Learning
Tim Peters
H. Farhat
14
0
0
21 Nov 2023
Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection
Yang Cai
Felix Mächtle
C. Daskalakis
Volodymyr Bezsmertnyi
T. Eisenbarth
AAML
31
7
0
04 May 2023
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
13
20
0
28 Mar 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
AAML
29
15
0
31 Jan 2023
Efficient Malware Analysis Using Metric Embeddings
Ethan M. Rudd
David B. Krisiloff
Scott E. Coull
Daniel Olszewski
Edward Raff
James Holt
AAML
23
6
0
05 Dec 2022
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
J. Hu
Mohammadreza Ebrahimi
Weifeng Li
Xin Li
Hsinchun Chen
AAML
15
2
0
25 Oct 2022
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
Daniel Gibert
Carles Mateu
Jordi Planes
Quan Le
AAML
27
48
0
12 Jun 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
16
5
0
15 Feb 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
Xiang Ling
Lingfei Wu
Jiangyu Zhang
Zhenqing Qu
Wei Deng
...
Chunming Wu
S. Ji
Tianyue Luo
Jingzheng Wu
Yanjun Wu
AAML
31
73
0
23 Dec 2021
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
J. Hu
Mohammadreza Ebrahimi
Hsinchun Chen
AAML
18
11
0
03 Dec 2021
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries
P. Dasgupta
Zachary Osman
AAML
28
2
0
22 Nov 2021
Who's Afraid of Thomas Bayes?
Erick Galinkin
AAML
25
0
0
30 Jul 2021
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python
Luca Demetrio
Battista Biggio
AAML
37
11
0
26 Apr 2021
Turning Federated Learning Systems Into Covert Channels
Gabriele Costa
Fabio Pinelli
S. Soderi
Gabriele Tolomei
FedML
37
10
0
21 Apr 2021
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability
Ishai Rosenberg
Shai Meir
J. Berrebi
I. Gordon
Guillaume Sicard
Eli David
AAML
SILM
11
25
0
28 Sep 2020
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
Luca Demetrio
Scott E. Coull
Battista Biggio
Giovanni Lagorio
A. Armando
Fabio Roli
AAML
22
59
0
17 Aug 2020
Functionality-preserving Black-box Optimization of Adversarial Windows Malware
Luca Demetrio
Battista Biggio
Giovanni Lagorio
Fabio Roli
A. Armando
AAML
23
136
0
30 Mar 2020
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
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
Giorgio Severi
J. Meyer
Scott E. Coull
Alina Oprea
AAML
SILM
21
18
0
02 Mar 2020
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes
Keane Lucas
Mahmood Sharif
Lujo Bauer
Michael K. Reiter
S. Shintre
AAML
31
66
0
19 Dec 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
Olakunle Ibitoye
Rana Abou-Khamis
Mohamed el Shehaby
Ashraf Matrawy
M. O. Shafiq
AAML
26
68
0
06 Nov 2019
Applications of Graph Integration to Function Comparison and Malware Classification
M. Slawinski
Andy Wortman
9
2
0
11 Oct 2018
Non-Negative Networks Against Adversarial Attacks
William Fleshman
Edward Raff
Jared Sylvester
Steven Forsyth
Mark McLean
AAML
27
41
0
15 Jun 2018
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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