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BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised
  Learning

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

1 August 2021
Jinyuan Jia
Yupei Liu
Neil Zhenqiang Gong
    SILM
    SSL
ArXivPDFHTML

Papers citing "BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning"

50 / 106 papers shown
Title
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
31
0
0
15 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
44
0
0
08 May 2025
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting
Tianya Zhao
Ningning Wang
Junqing Zhang
Xuyu Wang
AAML
50
0
0
01 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
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features
Mingli Zhu
Shaokui Wei
Hongyuan Zha
Baoyuan Wu
AAML
44
0
0
23 Feb 2025
PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models
PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models
Xinwei Liu
Xiaojun Jia
Yuan Xun
Hua Zhang
Xiaochun Cao
DiffM
AAML
49
0
0
22 Feb 2025
Data Free Backdoor Attacks
Data Free Backdoor Attacks
Bochuan Cao
Jinyuan Jia
Chuxuan Hu
Wenbo Guo
Zhen Xiang
Jinghui Chen
Bo-wen Li
Dawn Song
AAML
81
0
0
09 Dec 2024
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
Sizai Hou
Songze Li
Duanyi Yao
AAML
72
0
0
25 Nov 2024
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained
  Models via Model Editing
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing
Dongliang Guo
Mengxuan Hu
Zihan Guan
Junfeng Guo
Thomas Hartvigsen
Sheng Li
AAML
33
0
0
23 Oct 2024
Invisibility Cloak: Disappearance under Human Pose Estimation via
  Backdoor Attacks
Invisibility Cloak: Disappearance under Human Pose Estimation via Backdoor Attacks
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
34
0
0
10 Oct 2024
Backdooring Vision-Language Models with Out-Of-Distribution Data
Backdooring Vision-Language Models with Out-Of-Distribution Data
Weimin Lyu
Jiachen Yao
Saumya Gupta
Lu Pang
Tao Sun
Lingjie Yi
Lijie Hu
Haibin Ling
Chao Chen
VLM
AAML
64
3
0
02 Oct 2024
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for
  Finetuning Vision Transformers
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers
Zeyu Michael Li
AAML
26
0
0
01 Oct 2024
Efficient Backdoor Defense in Multimodal Contrastive Learning: A
  Token-Level Unlearning Method for Mitigating Threats
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Kuanrong Liu
Siyuan Liang
Jiawei Liang
Pengwen Dai
Xiaochun Cao
MU
AAML
36
1
0
29 Sep 2024
TrojVLM: Backdoor Attack Against Vision Language Models
TrojVLM: Backdoor Attack Against Vision Language Models
Weimin Lyu
Lu Pang
Tengfei Ma
Haibin Ling
Chao Chen
MLLM
37
7
0
28 Sep 2024
Adversarial Backdoor Defense in CLIP
Adversarial Backdoor Defense in CLIP
Junhao Kuang
Siyuan Liang
Jiawei Liang
Kuanrong Liu
Xiaochun Cao
AAML
36
2
0
24 Sep 2024
Membership Inference Attack Against Masked Image Modeling
Membership Inference Attack Against Masked Image Modeling
Zehan Li
Xinlei He
Ning Yu
Yang Zhang
42
1
0
13 Aug 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream
  Machine Learning Services
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Shaopeng Fu
Xuexue Sun
Ke Qing
Tianhang Zheng
Di Wang
AAML
MIACV
SILM
59
0
0
05 Aug 2024
Downstream Transfer Attack: Adversarial Attacks on Downstream Models
  with Pre-trained Vision Transformers
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers
Weijie Zheng
Xingjun Ma
Hanxun Huang
Zuxuan Wu
Yu-Gang Jiang
AAML
37
0
0
03 Aug 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
Shuyang Cheng
Guangyu Shen
Kaiyuan Zhang
Guanhong Tao
Shengwei An
Hanxi Guo
Shiqing Ma
Xiangyu Zhang
AAML
31
0
0
16 Jul 2024
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders
Tingxu Han
Weisong Sun
Ziqi Ding
Chunrong Fang
Hanwei Qian
Jiaxun Li
Zhenyu Chen
Xiangyu Zhang
AAML
38
7
0
05 Jun 2024
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection
Yuwei Niu
Shuo He
Qinglai Wei
Feng Liu
Lei Feng
AAML
35
2
0
24 May 2024
Invisible Backdoor Attack against Self-supervised Learning
Invisible Backdoor Attack against Self-supervised Learning
Hanrong Zhang
Zhenting Wang
Tingxu Han
Mingyu Jin
Chenlu Zhan
Jundong Li
Hongwei Wang
Shiqing Ma
Hongwei Wang
Shiqing Ma
AAML
SSL
49
2
0
23 May 2024
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised
  Learning Through Embedding Inspection
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection
Yuwen Qian
Shuchi Wu
Kang Wei
Ming Ding
Di Xiao
Tao Xiang
Chuan Ma
Song Guo
FedML
AAML
40
0
0
21 May 2024
Backdoor Contrastive Learning via Bi-level Trigger Optimization
Backdoor Contrastive Learning via Bi-level Trigger Optimization
Weiyu Sun
Xinyu Zhang
Hao Lu
Ying-Cong Chen
Ting Wang
Jinghui Chen
Lu Lin
34
6
0
11 Apr 2024
How to Craft Backdoors with Unlabeled Data Alone?
How to Craft Backdoors with Unlabeled Data Alone?
Yifei Wang
Wenhan Ma
Stefanie Jegelka
Yisen Wang
SyDa
29
0
0
10 Apr 2024
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping
  Attacks
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks
Orson Mengara
AAML
38
4
0
29 Mar 2024
Optimization-based Prompt Injection Attack to LLM-as-a-Judge
Optimization-based Prompt Injection Attack to LLM-as-a-Judge
Jiawen Shi
Zenghui Yuan
Yinuo Liu
Yue Huang
Pan Zhou
Lichao Sun
Neil Zhenqiang Gong
AAML
45
41
0
26 Mar 2024
On the Effectiveness of Distillation in Mitigating Backdoors in
  Pre-trained Encoder
On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained Encoder
Tingxu Han
Shenghan Huang
Ziqi Ding
Weisong Sun
Yebo Feng
...
Hanwei Qian
Cong Wu
Quanjun Zhang
Yang Liu
Zhenyu Chen
28
8
0
06 Mar 2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models
Hongbin Liu
Michael K. Reiter
Neil Zhenqiang Gong
AAML
33
2
0
22 Feb 2024
Instruction Backdoor Attacks Against Customized LLMs
Instruction Backdoor Attacks Against Customized LLMs
Rui Zhang
Hongwei Li
Rui Wen
Wenbo Jiang
Yuan Zhang
Michael Backes
Yun Shen
Yang Zhang
AAML
SILM
30
24
0
14 Feb 2024
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A
  Pilot Study on MedCLIP
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
Ruinan Jin
Chun-Yin Huang
Chenyu You
Xiaoxiao Li
AAML
MedIm
30
2
0
01 Jan 2024
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for
  Object Detection
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection
Qiannan Wang
Changchun Yin
Lu Zhou
Liming Fang
11
1
0
30 Dec 2023
Pre-trained Trojan Attacks for Visual Recognition
Pre-trained Trojan Attacks for Visual Recognition
Aishan Liu
Xinwei Zhang
Yisong Xiao
Yuguang Zhou
Siyuan Liang
Jiakai Wang
Xianglong Liu
Xiaochun Cao
Dacheng Tao
AAML
71
25
0
23 Dec 2023
On the Difficulty of Defending Contrastive Learning against Backdoor
  Attacks
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks
Changjiang Li
Ren Pang
Bochuan Cao
Zhaohan Xi
Jinghui Chen
Shouling Ji
Ting Wang
AAML
36
6
0
14 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated
  Learning, and the Defense Mechanisms: A Comprehensive Survey
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
Yichen Wan
Youyang Qu
Wei Ni
Yong Xiang
Longxiang Gao
Ekram Hossain
AAML
52
33
0
14 Dec 2023
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
Shengsheng Qian
Yifei Wang
Dizhan Xue
Shengjie Zhang
Huaiwen Zhang
Changsheng Xu
AAML
43
1
0
13 Dec 2023
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise
  Prototypes and Multi-Relational Extraction
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction
Shuchi Wu
Chuan Ma
Kang Wei
Xiaogang Xu
Ming Ding
Yuwen Qian
Tao Xiang
15
0
0
01 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
66
3
0
20 Nov 2023
Trustworthy Large Models in Vision: A Survey
Trustworthy Large Models in Vision: A Survey
Ziyan Guo
Li Xu
Jun Liu
MU
66
0
0
16 Nov 2023
Prompt Backdoors in Visual Prompt Learning
Prompt Backdoors in Visual Prompt Learning
Hai Huang
Zhengyu Zhao
Michael Backes
Yun Shen
Yang Zhang
VLM
VPVLM
AAML
SILM
43
2
0
11 Oct 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via
  Pre-trained Models
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
Ziyi Yin
Muchao Ye
Tianrong Zhang
Tianyu Du
Jinguo Zhu
Han Liu
Jinghui Chen
Ting Wang
Fenglong Ma
AAML
VLM
CoGe
33
36
0
07 Oct 2023
StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via
  Secrets Embeder and Extractor
StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor
Xingdong Ren
Tianxing Zhang
Hanzhou Wu
Xinpeng Zhang
Yinggui Wang
Guangling Sun
LLMSV
27
0
0
05 Oct 2023
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to
  Pre-trained Encoders in Self-supervised Learning
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning
Qiannan Wang
Changchun Yin
Jiafei Wu
Liming Fang
Run Wang
Chenhao Lin
AAML
30
4
0
01 Oct 2023
BAGEL: Backdoor Attacks against Federated Contrastive Learning
BAGEL: Backdoor Attacks against Federated Contrastive Learning
Yao Huang
Kongyang Chen
Jiannong Cao
Jiaxing Shen
Shaowei Wang
Yun Peng
Weilong Peng
Kechao Cai
FedML
34
3
0
14 Sep 2023
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal Embeddings
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
34
8
0
22 Aug 2023
Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models
Zhenhua Wang
Wei Xie
Kai Chen
Baosheng Wang
Zhiwen Gui
Enze Wang
AAML
SILM
27
6
0
16 Aug 2023
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal
  Contrastive Learning
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning
Ziqi Zhou
Shengshan Hu
Minghui Li
Hangtao Zhang
Yechao Zhang
Hai Jin
AAML
6
64
0
14 Aug 2023
SSL-Auth: An Authentication Framework by Fragile Watermarking for
  Pre-trained Encoders in Self-supervised Learning
SSL-Auth: An Authentication Framework by Fragile Watermarking for Pre-trained Encoders in Self-supervised Learning
Xiaobei Li
Changchun Yin
Liyue Zhu
Xiaogang Xu
Liming Fang
Run Wang
Chenhao Lin
AAML
25
0
0
09 Aug 2023
Downstream-agnostic Adversarial Examples
Downstream-agnostic Adversarial Examples
Ziqi Zhou
Shengshan Hu
Rui-Qing Zhao
Qian Wang
L. Zhang
Junhui Hou
Hai Jin
SILM
AAML
21
24
0
23 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
36
11
0
13 Jun 2023
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