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A Malware Classification Survey on Adversarial Attacks and Defences

A Malware Classification Survey on Adversarial Attacks and Defences

15 December 2023
Mahesh Ponnuru
Likhitha Amasala
Tanu Sree Bhimavarapu
Guna Chaitanya Garikipati
    AAML
ArXivPDFHTML

Papers citing "A Malware Classification Survey on Adversarial Attacks and Defences"

13 / 13 papers shown
Title
Cluster Analysis of Malware Family Relationships
Cluster Analysis of Malware Family Relationships
Samanvitha Basole
Mark Stamp
56
4
0
07 Mar 2021
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware
  Detection
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection
Deqiang Li
Qianmu Li
AAML
35
123
0
30 Jun 2020
Functionality-preserving Black-box Optimization of Adversarial Windows
  Malware
Functionality-preserving Black-box Optimization of Adversarial Windows Malware
Christian Scano
Battista Biggio
Giovanni Lagorio
Fabio Roli
A. Armando
AAML
49
142
0
30 Mar 2020
Exploring Adversarial Examples in Malware Detection
Exploring Adversarial Examples in Malware Detection
Octavian Suciu
Scott E. Coull
Jeffrey Johns
AAML
58
192
0
18 Oct 2018
IDSGAN: Generative Adversarial Networks for Attack Generation against
  Intrusion Detection
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection
Zilong Lin
Yong-yu Shi
Zhi Xue
AAML
51
262
0
06 Sep 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
135
1,066
0
21 May 2018
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAU
AAML
160
1,198
0
23 Apr 2018
Adversarial Malware Binaries: Evading Deep Learning for Malware
  Detection in Executables
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Bojan Kolosnjaji
Ambra Demontis
Battista Biggio
Davide Maiorca
Giorgio Giacinto
Claudia Eckert
Fabio Roli
AAML
46
317
0
12 Mar 2018
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
Abdullah Al-Dujaili
Alex Huang
Erik Hemberg
Una-May O’Reilly
AAML
68
188
0
09 Jan 2018
Generating Adversarial Examples with Adversarial Networks
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao
Yue Liu
Jun-Yan Zhu
Warren He
M. Liu
D. Song
GAN
AAML
115
896
0
08 Jan 2018
Adversarial Examples for Semantic Segmentation and Object Detection
Adversarial Examples for Semantic Segmentation and Object Detection
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
GAN
AAML
102
930
0
24 Mar 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
127
2,525
0
26 Oct 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
64
3,672
0
08 Feb 2016
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