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Live Trojan Attacks on Deep Neural Networks

Live Trojan Attacks on Deep Neural Networks

22 April 2020
Robby Costales
Chengzhi Mao
R. Norwitz
Bryan Kim
Junfeng Yang
    AAML
ArXivPDFHTML

Papers citing "Live Trojan Attacks on Deep Neural Networks"

6 / 6 papers shown
Title
Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Huaming Chen
Muhammad Ali Babar
AAML
42
22
0
12 Jan 2022
Backdoor Attack through Frequency Domain
Backdoor Attack through Frequency Domain
Tong Wang
Yuan Yao
Feng Xu
Shengwei An
Yangqiu Song
Ting Wang
AAML
24
33
0
22 Nov 2021
Attacking Deep Learning AI Hardware with Universal Adversarial
  Perturbation
Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation
Mehdi Sadi
B. M. S. Bahar Talukder
Kaniz Mishty
Md. Tauhidur Rahman
AAML
37
0
0
18 Nov 2021
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive
  Review
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao
Bao Gia Doan
Zhi-Li Zhang
Siqi Ma
Jiliang Zhang
Anmin Fu
Surya Nepal
Hyoungshick Kim
AAML
36
220
0
21 Jul 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
FedML
SILM
46
298
0
08 May 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
176
288
0
02 Dec 2018
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