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Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

5 July 2020
Yunfei Liu
Xingjun Ma
James Bailey
Feng Lu
    AAML
ArXivPDFHTML

Papers citing "Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks"

42 / 92 papers shown
Title
Watermarking in Secure Federated Learning: A Verification Framework
  Based on Client-Side Backdooring
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Wenyuan Yang
Shuo Shao
Yue Yang
Xiyao Liu
Ximeng Liu
Zhihua Xia
Gerald Schaefer
Hui Fang
FedML
12
21
0
14 Nov 2022
Dormant Neural Trojans
Dormant Neural Trojans
Feisi Fu
Panagiota Kiourti
Wenchao Li
AAML
26
0
0
02 Nov 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated
  Learning
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Kaiyuan Zhang
Guanhong Tao
Qiuling Xu
Shuyang Cheng
Shengwei An
...
Shiwei Feng
Guangyu Shen
Pin-Yu Chen
Shiqing Ma
Xiangyu Zhang
FedML
37
51
0
23 Oct 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Khoa D. Doan
Yingjie Lao
Ping Li
34
40
0
17 Oct 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference
  Against Machine Learning Models
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Xinlei He
Zheng Li
Weilin Xu
Cory Cornelius
Yang Zhang
MIACV
21
24
0
22 Aug 2022
Backdoor Attack is a Devil in Federated GAN-based Medical Image
  Synthesis
Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis
Ruinan Jin
Xiaoxiao Li
AAML
FedML
MedIm
31
12
0
02 Jul 2022
Natural Backdoor Datasets
Natural Backdoor Datasets
Emily Wenger
Roma Bhattacharjee
A. Bhagoji
Josephine Passananti
Emilio Andere
Haitao Zheng
Ben Y. Zhao
AAML
28
4
0
21 Jun 2022
DECK: Model Hardening for Defending Pervasive Backdoors
DECK: Model Hardening for Defending Pervasive Backdoors
Guanhong Tao
Yingqi Liu
Shuyang Cheng
Shengwei An
Zhuo Zhang
Qiuling Xu
Guangyu Shen
Xiangyu Zhang
AAML
18
7
0
18 Jun 2022
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of
  Source-Specific Backdoor Defences
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences
Shang Wang
Yansong Gao
Anmin Fu
Zhi-Li Zhang
Yuqing Zhang
W. Susilo
Dongxi Liu
AAML
29
10
0
31 May 2022
BadDet: Backdoor Attacks on Object Detection
BadDet: Backdoor Attacks on Object Detection
Shih-Han Chan
Yinpeng Dong
Junyi Zhu
Xiaolu Zhang
Jun Zhou
AAML
22
56
0
28 May 2022
Verifying Neural Networks Against Backdoor Attacks
Verifying Neural Networks Against Backdoor Attacks
Long H. Pham
Jun Sun
AAML
26
5
0
14 May 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited
  Information
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information
Yi Zeng
Minzhou Pan
H. Just
Lingjuan Lyu
M. Qiu
R. Jia
AAML
20
168
0
11 Apr 2022
Physical Backdoor Attacks to Lane Detection Systems in Autonomous
  Driving
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving
Xingshuo Han
Guowen Xu
Yuanpu Zhou
Xuehuan Yang
Jiwei Li
Tianwei Zhang
AAML
30
42
0
02 Mar 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
192
345
0
15 Dec 2021
Safe Distillation Box
Safe Distillation Box
Jingwen Ye
Yining Mao
Jie Song
Xinchao Wang
Cheng Jin
Mingli Song
AAML
19
13
0
05 Dec 2021
FIBA: Frequency-Injection based Backdoor Attack in Medical Image
  Analysis
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
Yu Feng
Benteng Ma
Jing Zhang
Shanshan Zhao
Yong-quan Xia
Dacheng Tao
AAML
28
84
0
02 Dec 2021
Backdoor Attack through Frequency Domain
Backdoor Attack through Frequency Domain
Tong Wang
Yuan Yao
Feng Xu
Shengwei An
Hanghang Tong
Ting Wang
AAML
20
33
0
22 Nov 2021
Lightweight machine unlearning in neural network
Lightweight machine unlearning in neural network
Kongyang Chen
Yiwen Wang
Yao Huang
MU
20
7
0
10 Nov 2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value
  Analysis
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
Junfeng Guo
Ang Li
Cong Liu
AAML
45
74
0
28 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li
X. Lyu
Nodens Koren
Lingjuan Lyu
Bo-wen Li
Xingjun Ma
OnRL
6
320
0
22 Oct 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain
Hasan Hammoud
Bernard Ghanem
AAML
18
13
0
12 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised
  Learning
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
Jinyuan Jia
Yupei Liu
Neil Zhenqiang Gong
SILM
SSL
24
151
0
01 Aug 2021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks
  Trained from Scratch
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Hossein Souri
Liam H. Fowl
Ramalingam Chellappa
Micah Goldblum
Tom Goldstein
SILM
18
123
0
16 Jun 2021
Poisoning Deep Reinforcement Learning Agents with In-Distribution
  Triggers
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers
C. Ashcraft
Kiran Karra
15
22
0
14 Jun 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word
  Substitution
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution
Fanchao Qi
Yuan Yao
Sophia Xu
Zhiyuan Liu
Maosong Sun
SILM
22
126
0
11 Jun 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Nicholas Carlini
AAML
144
68
0
04 May 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
J. Hayase
Weihao Kong
Raghav Somani
Sewoong Oh
AAML
19
149
0
22 Apr 2021
Robust Backdoor Attacks against Deep Neural Networks in Real Physical
  World
Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
Mingfu Xue
Can He
Shichang Sun
Jian Wang
Weiqiang Liu
AAML
28
43
0
15 Apr 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud
PointBA: Towards Backdoor Attacks in 3D Point Cloud
Xinke Li
Zhirui Chen
Yue Zhao
Zekun Tong
Yabang Zhao
A. Lim
Joey Tianyi Zhou
3DPC
AAML
60
51
0
30 Mar 2021
Black-box Detection of Backdoor Attacks with Limited Information and
  Data
Black-box Detection of Backdoor Attacks with Limited Information and Data
Yinpeng Dong
Xiao Yang
Zhijie Deng
Tianyu Pang
Zihao Xiao
Hang Su
Jun Zhu
AAML
13
112
0
24 Mar 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural
  Networks by Examining Differential Feature Symmetry
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry
Yingqi Liu
Guangyu Shen
Guanhong Tao
Zhenting Wang
Shiqing Ma
X. Zhang
AAML
22
8
0
16 Mar 2021
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
136
190
0
13 Jan 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled
  Detoxification
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Shuyang Cheng
Yingqi Liu
Shiqing Ma
X. Zhang
AAML
15
154
0
21 Dec 2020
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural
  Backdoors
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors
Ren Pang
Zheng-Wei Zhang
Xiangshan Gao
Zhaohan Xi
S. Ji
Peng Cheng
Xiapu Luo
Ting Wang
AAML
27
31
0
16 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
177
355
0
07 Dec 2020
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Fanchao Qi
Yangyi Chen
Mukai Li
Yuan Yao
Zhiyuan Liu
Maosong Sun
AAML
28
261
0
20 Nov 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly
  Detection
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Hao Fu
A. Veldanda
P. Krishnamurthy
S. Garg
Farshad Khorrami
AAML
17
14
0
04 Nov 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural
  Styles
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
•. A. K. Qin
Yun Yang
AAML
158
224
0
08 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
16
269
0
07 Mar 2020
Clean-Label Backdoor Attacks on Video Recognition Models
Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao
Xingjun Ma
Xiang Zheng
James Bailey
Jingjing Chen
Yu-Gang Jiang
AAML
188
252
0
06 Mar 2020
Semantic Guided Single Image Reflection Removal
Semantic Guided Single Image Reflection Removal
Yunfei Liu
Yu Li
Shaodi You
Feng Lu
16
15
0
27 Jul 2019
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