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STRIP: A Defence Against Trojan Attacks on Deep Neural Networks

STRIP: A Defence Against Trojan Attacks on Deep Neural Networks

18 February 2019
Yansong Gao
Chang Xu
Derui Wang
Shiping Chen
Damith C. Ranasinghe
Surya Nepal
    AAML
ArXivPDFHTML

Papers citing "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"

21 / 171 papers shown
Title
Odyssey: Creation, Analysis and Detection of Trojan Models
Odyssey: Creation, Analysis and Detection of Trojan Models
Marzieh Edraki
Nazmul Karim
Nazanin Rahnavard
Ajmal Mian
M. Shah
AAML
28
13
0
16 Jul 2020
Mitigating backdoor attacks in LSTM-based Text Classification Systems by
  Backdoor Keyword Identification
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification
Chuanshuai Chen
Jiazhu Dai
SILM
63
125
0
11 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu
Xingjun Ma
James Bailey
Feng Lu
AAML
22
505
0
05 Jul 2020
Natural Backdoor Attack on Text Data
Natural Backdoor Attack on Text Data
Lichao Sun
SILM
19
39
0
29 Jun 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World
Backdoor Attacks Against Deep Learning Systems in the Physical World
Emily Wenger
Josephine Passananti
A. Bhagoji
Yuanshun Yao
Haitao Zheng
Ben Y. Zhao
AAML
31
200
0
25 Jun 2020
Backdoor Attacks to Graph Neural Networks
Backdoor Attacks to Graph Neural Networks
Zaixi Zhang
Jinyuan Jia
Binghui Wang
Neil Zhenqiang Gong
GNN
24
212
0
19 Jun 2020
Backdoors in Neural Models of Source Code
Backdoors in Neural Models of Source Code
Goutham Ramakrishnan
Aws Albarghouthi
AAML
SILM
28
56
0
11 Jun 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
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement
  Learning-based Traffic Congestion Control Systems
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems
Yue Wang
Esha Sarkar
Wenqing Li
Michail Maniatakos
Saif Eddin Jabari
AAML
23
60
0
17 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning Models
Dynamic Backdoor Attacks Against Machine Learning Models
A. Salem
Rui Wen
Michael Backes
Shiqing Ma
Yang Zhang
AAML
45
271
0
07 Mar 2020
NNoculation: Catching BadNets in the Wild
NNoculation: Catching BadNets in the Wild
A. Veldanda
Kang Liu
Benjamin Tan
Prashanth Krishnamurthy
Farshad Khorrami
Ramesh Karri
Brendan Dolan-Gavitt
S. Garg
AAML
OnRL
11
20
0
19 Feb 2020
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems
  With Limited Data
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
Xinyun Chen
Wenxiao Wang
Chris Bender
Yiming Ding
R. Jia
Bo-wen Li
D. Song
AAML
27
107
0
17 Nov 2019
Detecting AI Trojans Using Meta Neural Analysis
Detecting AI Trojans Using Meta Neural Analysis
Xiaojun Xu
Qi Wang
Huichen Li
Nikita Borisov
Carl A. Gunter
Bo-wen Li
31
321
0
08 Oct 2019
Hidden Trigger Backdoor Attacks
Hidden Trigger Backdoor Attacks
Aniruddha Saha
Akshayvarun Subramanya
Hamed Pirsiavash
16
613
0
30 Sep 2019
Februus: Input Purification Defense Against Trojan Attacks on Deep
  Neural Network Systems
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
Bao Gia Doan
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
27
66
0
09 Aug 2019
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
Soheil Kolouri
Aniruddha Saha
Hamed Pirsiavash
Heiko Hoffmann
AAML
27
231
0
26 Jun 2019
Quantitative Verification of Neural Networks And its Security
  Applications
Quantitative Verification of Neural Networks And its Security Applications
Teodora Baluta
Shiqi Shen
Shweta Shinde
Kuldeep S. Meel
P. Saxena
AAML
21
104
0
25 Jun 2019
Adversarial Learning in Statistical Classification: A Comprehensive
  Review of Defenses Against Attacks
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
David J. Miller
Zhen Xiang
G. Kesidis
AAML
19
35
0
12 Apr 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
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
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
309
13,373
0
25 Aug 2014
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