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1812.00483
Cited By
Model-Reuse Attacks on Deep Learning Systems
2 December 2018
Yujie Ji
Xinyang Zhang
S. Ji
Xiapu Luo
Ting Wang
SILM
AAML
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Papers citing
"Model-Reuse Attacks on Deep Learning Systems"
10 / 60 papers shown
Title
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods
Arif Siddiqi
AAML
64
11
0
17 Jul 2019
Making targeted black-box evasion attacks effective and efficient
Mika Juuti
B. Atli
Nadarajah Asokan
AAML
MIACV
MLAU
49
8
0
08 Jun 2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning
Shahbaz Rezaei
Xin Liu
SILM
AAML
134
46
0
08 Apr 2019
Attacking Graph-based Classification via Manipulating the Graph Structure
Binghui Wang
Neil Zhenqiang Gong
AAML
102
156
0
01 Mar 2019
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
Yansong Gao
Chang Xu
Derui Wang
Shiping Chen
Damith C. Ranasinghe
Surya Nepal
AAML
98
821
0
18 Feb 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples
Derui Wang
Chaoran Li
S. Wen
Qing-Long Han
Surya Nepal
Xiangyu Zhang
Yang Xiang
AAML
75
40
0
06 Feb 2019
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems
Tianyu Du
S. Ji
Jinfeng Li
Qinchen Gu
Ting Wang
R. Beyah
AAML
88
130
0
23 Jan 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
240
295
0
02 Dec 2018
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks
Davide Maiorca
Battista Biggio
Giorgio Giacinto
AAML
80
47
0
02 Nov 2018
How To Backdoor Federated Learning
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILM
FedML
158
1,943
0
02 Jul 2018
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