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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

3 October 2016
Nicolas Papernot
Fartash Faghri
Nicholas Carlini
Ian Goodfellow
Reuben Feinman
Alexey Kurakin
Cihang Xie
Yash Sharma
Tom B. Brown
Aurko Roy
Alexander Matyasko
Vahid Behzadan
Karen Hambardzumyan
Zhishuai Zhang
Yi-Lin Juang
Zhi Li
Ryan Sheatsley
Abhibhav Garg
J. Uesato
Willi Gierke
Yinpeng Dong
David Berthelot
P. Hendricks
Jonas Rauber
Rujun Long
Patrick McDaniel
    AAML
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Papers citing "Technical Report on the CleverHans v2.1.0 Adversarial Examples Library"

4 / 4 papers shown
Title
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Christian Scano
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
59
8
0
30 Apr 2024
On Continuity of Robust and Accurate Classifiers
On Continuity of Robust and Accurate Classifiers
Ramin Barati
Reza Safabakhsh
Mohammad Rahmati
AAML
28
1
0
29 Sep 2023
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
57
2,140
0
21 Aug 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive
  Noise Reduction
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang
Hongcheng Li
Miaoqiang Su
Xirong Li
Wenchang Shi
Xiaofeng Wang
AAML
63
216
0
23 May 2017
1