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SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems

SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

2 December 2018
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
    AAML
ArXivPDFHTML

Papers citing "SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems"

15 / 65 papers shown
Title
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Guangyu Shen
Yingqi Liu
Guanhong Tao
Shengwei An
Qiuling Xu
Shuyang Cheng
Shiqing Ma
Xinming Zhang
AAML
39
117
0
09 Feb 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks,
  and Defenses
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
D. Song
A. Madry
Bo-wen Li
Tom Goldstein
SILM
27
271
0
18 Dec 2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks
  using Data Augmentation
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
Han Qiu
Yi Zeng
Shangwei Guo
Tianwei Zhang
Meikang Qiu
B. Thuraisingham
AAML
24
191
0
13 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
357
0
07 Dec 2020
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural
  Networks for Detection and Training Set Cleansing
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
Zhen Xiang
David J. Miller
G. Kesidis
35
22
0
15 Oct 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI)
  Interpretability through Neural Backdoors
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors
Yi-Shan Lin
Wen-Chuan Lee
Z. Berkay Celik
XAI
29
93
0
22 Sep 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Xiaoyu Zhang
Ajmal Mian
Rohit Gupta
Nazanin Rahnavard
M. Shah
AAML
34
26
0
28 Jul 2020
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
221
0
21 Jul 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
590
0
17 Jul 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived
  Adversarial Perturbations
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
Giulio Lovisotto
H.C.M. Turner
Ivo Sluganovic
Martin Strohmeier
Ivan Martinovic
AAML
19
101
0
08 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
NeuronInspect: Detecting Backdoors in Neural Networks via Output
  Explanations
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations
Xijie Huang
M. Alzantot
Mani B. Srivastava
AAML
17
103
0
18 Nov 2019
Model-Reuse Attacks on Deep Learning Systems
Model-Reuse Attacks on Deep Learning Systems
Yujie Ji
Xinyang Zhang
S. Ji
Xiapu Luo
Ting Wang
SILM
AAML
134
186
0
02 Dec 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
K. Makarychev
Pascal Dupré
Yury Makarychev
Giancarlo Pellegrino
Dan Boneh
AAML
29
64
0
08 Nov 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
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