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Adversarial Binaries for Authorship Identification
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Adversarial Binaries for Authorship Identification

Xiaozhu Meng
B. Miller
S. Jha
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Binaries for Authorship Identification"

6 / 6 papers shown
Title
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
135
1,409
0
08 Dec 2017
DolphinAtack: Inaudible Voice Commands
DolphinAtack: Inaudible Voice Commands
Guoming Zhang
Chen Yan
Xiaoyu Ji
Taimin Zhang
Tianchen Zhang
Wenyuan Xu
AAML
45
696
0
31 Aug 2017
Evasion Attacks against Machine Learning at Test Time
Evasion Attacks against Machine Learning at Test Time
Battista Biggio
Igino Corona
Davide Maiorca
B. Nelson
Nedim Srndic
Pavel Laskov
Giorgio Giacinto
Fabio Roli
AAML
163
2,160
0
21 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
319
12,151
0
19 Jun 2017
The Space of Transferable Adversarial Examples
The Space of Transferable Adversarial Examples
Florian Tramèr
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAMLSILM
102
558
0
11 Apr 2017
Poisoning Attacks against Support Vector Machines
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
129
1,595
0
27 Jun 2012

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