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A new Backdoor Attack in CNNs by training set corruption without label
  poisoning

A new Backdoor Attack in CNNs by training set corruption without label poisoning

12 February 2019
Mauro Barni
Kassem Kallas
B. Tondi
    AAML
ArXivPDFHTML

Papers citing "A new Backdoor Attack in CNNs by training set corruption without label poisoning"

50 / 62 papers shown
Title
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
Shuaiwei Yuan
Junyu Dong
Yuezun Li
AAML
29
0
0
13 May 2025
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models
Soheil Zibakhsh Shabgahi
Yaman Jandali
F. Koushanfar
MoMe
AAML
57
0
0
06 May 2025
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets
Wenjie Qu
Yuxuan Zhou
Tianyu Li
Minghui Li
Shengshan Hu
Wei Luo
L. Zhang
AAML
SILM
43
0
0
16 Apr 2025
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
Rui Luo
Jie Bao
Zhixin Zhou
Chuangyin Dang
MedIm
AAML
42
5
0
07 Nov 2024
Securing Federated Learning against Backdoor Threats with Foundation Model Integration
Securing Federated Learning against Backdoor Threats with Foundation Model Integration
Xiaohuan Bi
Xi Li
60
1
0
23 Oct 2024
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification
  and Fine-Tuning
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning
Yukai Xu
Yujie Gu
Kouichi Sakurai
AAML
23
0
0
18 Sep 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label
  Backdoor Attacks
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
Quang H. Nguyen
Nguyen Ngoc-Hieu
The-Anh Ta
Thanh Nguyen-Tang
Kok-Seng Wong
Hoang Thanh-Tung
Khoa D. Doan
AAML
33
2
0
15 Jul 2024
DLP: towards active defense against backdoor attacks with decoupled
  learning process
DLP: towards active defense against backdoor attacks with decoupled learning process
Zonghao Ying
Bin Wu
AAML
46
6
0
18 Jun 2024
Potion: Towards Poison Unlearning
Potion: Towards Poison Unlearning
Stefan Schoepf
Jack Foster
Alexandra Brintrup
AAML
MU
55
7
0
13 Jun 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Zhenxing Niu
Yuyao Sun
Qiguang Miao
Rong Jin
Gang Hua
AAML
44
6
0
28 May 2024
Partial train and isolate, mitigate backdoor attack
Partial train and isolate, mitigate backdoor attack
Yong Li
Han Gao
AAML
34
0
0
26 May 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Xinwei Zhang
Aishan Liu
Tianyuan Zhang
Siyuan Liang
Xianglong Liu
AAML
55
11
0
09 May 2024
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal
  Contrastive Learning via Local Token Unlearning
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning
Siyuan Liang
Kuanrong Liu
Jiajun Gong
Jiawei Liang
Yuan Xun
Ee-Chien Chang
Xiaochun Cao
AAML
MU
37
13
0
24 Mar 2024
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration
Zhenbo Song
Wenhao Gao
Kaihao Zhang
Wenhan Luo
AAML
47
0
0
11 Mar 2024
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm
Yanqi Qiao
Dazhuang Liu
Rui Wang
Kaitai Liang
AAML
28
1
0
23 Feb 2024
VL-Trojan: Multimodal Instruction Backdoor Attacks against
  Autoregressive Visual Language Models
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
Jiawei Liang
Siyuan Liang
Man Luo
Aishan Liu
Dongchen Han
Ee-Chien Chang
Xiaochun Cao
42
38
0
21 Feb 2024
End-to-End Anti-Backdoor Learning on Images and Time Series
End-to-End Anti-Backdoor Learning on Images and Time Series
Yujing Jiang
Xingjun Ma
S. Erfani
Yige Li
James Bailey
40
1
0
06 Jan 2024
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor
  Attack
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack
Sze Jue Yang
Q. Nguyen
Chee Seng Chan
Khoa D. Doan
AAML
DiffM
32
0
0
31 Aug 2023
Beating Backdoor Attack at Its Own Game
Beating Backdoor Attack at Its Own Game
Min Liu
Alberto L. Sangiovanni-Vincentelli
Xiangyu Yue
AAML
65
11
0
28 Jul 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via
  Restricted Adversarial Distillation
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation
Zhicong Yan
Shenghong Li
Ruijie Zhao
Yuan Tian
Yuanyuan Zhao
AAML
39
11
0
13 Jun 2023
UNICORN: A Unified Backdoor Trigger Inversion Framework
UNICORN: A Unified Backdoor Trigger Inversion Framework
Zhenting Wang
Kai Mei
Juan Zhai
Shiqing Ma
LLMSV
39
44
0
05 Apr 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked
  Autoencoder
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
Tao Sun
Lu Pang
Chao Chen
Haibin Ling
AAML
43
9
0
27 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Lijun Sheng
Jian Liang
Ran He
Zilei Wang
Tien-Ping Tan
AAML
51
5
0
19 Mar 2023
CUDA: Convolution-based Unlearnable Datasets
CUDA: Convolution-based Unlearnable Datasets
Vinu Sankar Sadasivan
Mahdi Soltanolkotabi
S. Feizi
MU
29
25
0
07 Mar 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive
  Learning
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
Hritik Bansal
Nishad Singhi
Yu Yang
Fan Yin
Aditya Grover
Kai-Wei Chang
AAML
34
42
0
06 Mar 2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based
  Artificial Bias
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
Shangxi Wu
Qiuyang He
Jitao Sang
Jitao Sang
28
1
0
01 Mar 2023
Poisoning Web-Scale Training Datasets is Practical
Poisoning Web-Scale Training Datasets is Practical
Nicholas Carlini
Matthew Jagielski
Christopher A. Choquette-Choo
Daniel Paleka
Will Pearce
Hyrum S. Anderson
Andreas Terzis
Kurt Thomas
Florian Tramèr
SILM
31
182
0
20 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder
Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder
Jiliang Zhang
Jing Xu
Zhi-Li Zhang
Yansong Gao
AAML
21
2
0
09 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in
  Image Classification
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Gorka Abad
Jing Xu
Stefanos Koffas
Behrad Tajalli
S. Picek
Mauro Conti
AAML
65
5
0
03 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor
  Attacks
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
38
25
0
03 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for
  Detecting Backdoor Attacks
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks
Xiaoyun Xu
Oguzhan Ersoy
S. Picek
AAML
32
2
0
01 Feb 2023
Towards Understanding How Self-training Tolerates Data Backdoor
  Poisoning
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
Soumyadeep Pal
Ren Wang
Yuguang Yao
Sijia Liu
45
6
0
20 Jan 2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
Shuyang Cheng
Guanhong Tao
Yingqi Liu
Shengwei An
Xiangzhe Xu
...
Guangyu Shen
Kaiyuan Zhang
Qiuling Xu
Shiqing Ma
Xiangyu Zhang
AAML
24
14
0
16 Jan 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action
  Recognition
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
Hasan Hammoud
Shuming Liu
Mohammad Alkhrashi
Fahad Albalawi
Guohao Li
AAML
34
8
0
03 Jan 2023
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Zeyang Sha
Xinlei He
Pascal Berrang
Mathias Humbert
Yang Zhang
AAML
13
33
0
18 Dec 2022
Backdoor Cleansing with Unlabeled Data
Backdoor Cleansing with Unlabeled Data
Lu Pang
Tao Sun
Haibin Ling
Chao Chen
AAML
45
18
0
22 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
54
5
0
19 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
Understanding Impacts of Task Similarity on Backdoor Attack and
  Detection
Understanding Impacts of Task Similarity on Backdoor Attack and Detection
Di Tang
Rui Zhu
Xiaofeng Wang
Haixu Tang
Yi Chen
AAML
24
5
0
12 Oct 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
Defense against Backdoor Attacks via Identifying and Purifying Bad
  Neurons
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons
Mingyuan Fan
Yang Liu
Cen Chen
Ximeng Liu
Wenzhong Guo
AAML
21
4
0
13 Aug 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
26
7
0
18 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
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
Verifying Neural Networks Against Backdoor Attacks
Verifying Neural Networks Against Backdoor Attacks
Long H. Pham
Jun Sun
AAML
26
5
0
14 May 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks
On the Effectiveness of Adversarial Training against Backdoor Attacks
Yinghua Gao
Dongxian Wu
Jingfeng Zhang
Guanhao Gan
Shutao Xia
Gang Niu
Masashi Sugiyama
AAML
32
22
0
22 Feb 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
Limin Yang
Zhi Chen
Jacopo Cortellazzi
Feargus Pendlebury
Kevin Tu
Fabio Pierazzi
Lorenzo Cavallaro
Gang Wang
AAML
26
36
0
11 Feb 2022
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
21
0
12 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
12
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