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Hidden Trigger Backdoor Attacks

Hidden Trigger Backdoor Attacks

30 September 2019
Aniruddha Saha
Akshayvarun Subramanya
Hamed Pirsiavash
ArXivPDFHTML

Papers citing "Hidden Trigger Backdoor Attacks"

50 / 131 papers shown
Title
Dormant Neural Trojans
Dormant Neural Trojans
Feisi Fu
Panagiota Kiourti
Wenchao Li
AAML
30
0
0
02 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on
  Semi-supervised Learning
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning
Virat Shejwalkar
Lingjuan Lyu
Amir Houmansadr
AAML
29
10
0
01 Nov 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
56
5
0
19 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Yi Zeng
Minzhou Pan
Himanshu Jahagirdar
Ming Jin
Lingjuan Lyu
R. Jia
AAML
39
21
0
12 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li
Yang Bai
Yong Jiang
Yong-Liang Yang
Shutao Xia
Bo Li
AAML
56
98
0
27 Sep 2022
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe
Yuhang Wang
Huafeng Shi
Rui Min
Ruijia Wu
Siyuan Liang
Yichao Wu
Ding Liang
Aishan Liu
AAML
45
7
0
12 Sep 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact
  DNN
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
Huy Phan
Cong Shi
Yi Xie
Tian-Di Zhang
Zhuohang Li
Tianming Zhao
Jian-Dong Liu
Yan Wang
Ying-Cong Chen
Bo Yuan
AAML
35
6
0
22 Aug 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
38
24
0
22 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in
  Federated Learning
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Kerem Ozfatura
Emre Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
FedML
41
13
0
21 Aug 2022
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for
  Image Classifier Models
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models
Yulong Wang
Minghui Zhao
Shenghong Li
Xinnan Yuan
W. Ni
18
15
0
19 Aug 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against
  Data Poisoning Attacks
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks
Tianwei Liu
Yu Yang
Baharan Mirzasoleiman
AAML
39
27
0
14 Aug 2022
FRIB: Low-poisoning Rate Invisible Backdoor Attack based on Feature
  Repair
FRIB: Low-poisoning Rate Invisible Backdoor Attack based on Feature Repair
Hui Xia
Xiugui Yang
X. Qian
Rui Zhang
AAML
32
0
0
26 Jul 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
44
12
0
02 Jul 2022
Backdoor Attacks on Vision Transformers
Backdoor Attacks on Vision Transformers
Akshayvarun Subramanya
Aniruddha Saha
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
ViT
AAML
21
16
0
16 Jun 2022
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers
Nan Luo
Yuan-zhang Li
Yajie Wang
Shan-Hung Wu
Yu-an Tan
Quan-xin Zhang
AAML
20
11
0
10 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
31
10
0
31 May 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning
  Systems
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Zeyan Liu
Fengjun Li
Jingqiang Lin
Zhu Li
Bo Luo
AAML
15
1
0
31 May 2022
Integrity Authentication in Tree Models
Integrity Authentication in Tree Models
Weijie Zhao
Yingjie Lao
Ping Li
59
5
0
30 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
30
56
0
28 May 2022
Indiscriminate Data Poisoning Attacks on Neural Networks
Indiscriminate Data Poisoning Attacks on Neural Networks
Yiwei Lu
Gautam Kamath
Yaoliang Yu
AAML
43
24
0
19 Apr 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
33
171
0
11 Apr 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research
  Directions
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions
Chamara Sandeepa
Bartlomiej Siniarski
N. Kourtellis
Shen Wang
Madhusanka Liyanage
31
21
0
08 Mar 2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent
  Backdoor Attacks
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks
Siddhartha Datta
N. Shadbolt
AAML
32
6
0
07 Mar 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey
M. A. Ramírez
Song-Kyoo Kim
H. A. Hamadi
Ernesto Damiani
Young-Ji Byon
Tae-Yeon Kim
C. Cho
C. Yeun
AAML
25
37
0
21 Feb 2022
Improved Certified Defenses against Data Poisoning with (Deterministic)
  Finite Aggregation
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
Wenxiao Wang
Alexander Levine
S. Feizi
AAML
20
60
0
05 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao
Lei Feng
Hongxin Wei
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
136
16
0
31 Jan 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That
  Backfire
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire
Siddhartha Datta
N. Shadbolt
AAML
38
7
0
28 Jan 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained
  Encoders
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Tianshuo Cong
Xinlei He
Yang Zhang
23
53
0
27 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and
  Multi-Attack Scenarios
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
Zhen Xiang
David J. Miller
G. Kesidis
AAML
39
47
0
20 Jan 2022
Safe Distillation Box
Safe Distillation Box
Jingwen Ye
Yining Mao
Mingli Song
Xinchao Wang
Cheng Jin
Xiuming Zhang
AAML
24
13
0
05 Dec 2021
Anomaly Localization in Model Gradients Under Backdoor Attacks Against
  Federated Learning
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning
Z. Bilgin
FedML
AAML
24
1
0
29 Nov 2021
A General Framework for Defending Against Backdoor Attacks via Influence
  Graph
A General Framework for Defending Against Backdoor Attacks via Influence Graph
Xiaofei Sun
Jiwei Li
Xiaoya Li
Ziyao Wang
Tianwei Zhang
Han Qiu
Fei Wu
Chun Fan
AAML
TDI
24
5
0
29 Nov 2021
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural
  Networks
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
Xiangyu Qi
Tinghao Xie
Ruizhe Pan
Jifeng Zhu
Yong-Liang Yang
Kai Bu
AAML
35
57
0
25 Nov 2021
Backdoor Attack through Frequency Domain
Backdoor Attack through Frequency Domain
Tong Wang
Yuan Yao
Feng Xu
Shengwei An
Hanghang Tong
Ting Wang
AAML
24
33
0
22 Nov 2021
Get a Model! Model Hijacking Attack Against Machine Learning Models
Get a Model! Model Hijacking Attack Against Machine Learning Models
A. Salem
Michael Backes
Yang Zhang
AAML
25
28
0
08 Nov 2021
Availability Attacks Create Shortcuts
Availability Attacks Create Shortcuts
Da Yu
Huishuai Zhang
Wei Chen
Jian Yin
Tie-Yan Liu
AAML
31
57
0
01 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
67
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
31
322
0
22 Oct 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Shawn Shan
A. Bhagoji
Haitao Zheng
Ben Y. Zhao
AAML
94
50
0
13 Oct 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Neil G. Marchant
Benjamin I. P. Rubinstein
Scott Alfeld
MU
AAML
28
69
0
17 Sep 2021
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Linyang Li
Demin Song
Xiaonan Li
Jiehang Zeng
Ruotian Ma
Xipeng Qiu
33
135
0
31 Aug 2021
Quantization Backdoors to Deep Learning Commercial Frameworks
Quantization Backdoors to Deep Learning Commercial Frameworks
Hua Ma
Huming Qiu
Yansong Gao
Zhi-Li Zhang
A. Abuadbba
Minhui Xue
Anmin Fu
Jiliang Zhang
S. Al-Sarawi
Derek Abbott
MQ
38
19
0
20 Aug 2021
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine
  learning-based genomic analysis
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis
Esha Sarkar
Michail Maniatakos
32
3
0
14 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
42
152
0
01 Aug 2021
Subnet Replacement: Deployment-stage backdoor attack against deep neural
  networks in gray-box setting
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting
Xiangyu Qi
Jifeng Zhu
Chulin Xie
Yong-Liang Yang
AAML
66
35
0
15 Jul 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
31
124
0
16 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
33
126
0
11 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation
Defending Against Backdoor Attacks in Natural Language Generation
Xiaofei Sun
Xiaoya Li
Yuxian Meng
Xiang Ao
Fei Wu
Jiwei Li
Tianwei Zhang
AAML
SILM
31
47
0
03 Jun 2021
Backdoor Attacks on Self-Supervised Learning
Backdoor Attacks on Self-Supervised Learning
Aniruddha Saha
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
AAML
27
101
0
21 May 2021
A Master Key Backdoor for Universal Impersonation Attack against
  DNN-based Face Verification
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification
Wei Guo
B. Tondi
Mauro Barni
AAML
30
19
0
01 May 2021
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