Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1812.09400
Cited By
Towards resilient machine learning for ransomware detection
21 December 2018
Li-Wei Chen
Chih-Yuan Yang
Anindya Paul
R. Sahita
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Towards resilient machine learning for ransomware detection"
32 / 32 papers shown
Title
Deep Transfer Learning for Static Malware Classification
Li-Wei Chen
36
46
0
18 Dec 2018
Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection
O. Alhawi
James Baldwin
Ali Dehghantanha
29
136
0
27 Jul 2018
Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior
Vineeth S. Bhaskara
D. Bhattacharyya
AAML
28
8
0
19 Jul 2018
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 Logit Pairing
Harini Kannan
Alexey Kurakin
Ian Goodfellow
AAML
95
628
0
16 Mar 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
FedML
AAML
69
227
0
19 Feb 2018
Deep Learning for Malicious Flow Detection
Yun-Chun Chen
Yu-Jhe Li
Aragorn Tseng
Tsungnan Lin
AAML
38
38
0
09 Feb 2018
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
HeNet: A Deep Learning Approach on Intel
®
^\circledR
®
Processor Trace for Effective Exploit Detection
Li-Wei Chen
Salmin Sultana
R. Sahita
44
41
0
08 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
91
1,077
0
05 Jan 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
106
1,407
0
08 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
277
12,029
0
19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
118
1,854
0
20 May 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
AAML
58
305
0
08 May 2017
Semi-supervised classification for dynamic Android malware detection
Li-Wei Chen
Mingwei Zhang
Chih-Yuan Yang
R. Sahita
AAML
27
27
0
19 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
72
1,260
0
04 Apr 2017
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
166
4,825
0
26 Jan 2017
Software-Defined Networking-based Crypto Ransomware Detection Using HTTP Traffic Characteristics
Krzysztof Cabaj
Marcin Gregorczyk
W. Mazurczyk
20
153
0
24 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
415
3,209
0
30 Oct 2016
DeepDGA: Adversarially-Tuned Domain Generation and Detection
Hyrum S. Anderson
Jonathan Woodbridge
Bobby Filar
AAML
58
198
0
06 Oct 2016
Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection
D. Sgandurra
Luis Muñoz-González
Rabih Mohsen
Emil C. Lupu
47
268
0
10 Sep 2016
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
237
8,548
0
16 Aug 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
517
5,893
0
08 Jul 2016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
681
38,735
0
09 Mar 2016
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
88
3,955
0
24 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
243
13,989
0
19 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
131
4,886
0
14 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
90
2,241
0
18 Jun 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
241
19,017
0
20 Dec 2014
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
248
10,394
0
06 Nov 2014
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
605
13,416
0
25 Aug 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
247
14,893
1
21 Dec 2013
1