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2201.07513
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Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
Computer Vision and Pattern Recognition (CVPR), 2022
19 January 2022
Zeyang Sha
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
Re-assign community
ArXiv (abs)
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Papers citing
"Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders"
34 / 34 papers shown
On Stealing Graph Neural Network Models
Marcin Podhajski
Jan Dubiñski
Franziska Boenisch
Adam Dziedzic
Agnieszka Pregowska
Tomasz Michalak
358
0
0
10 Nov 2025
Rotation, Scale, and Translation Resilient Black-box Fingerprinting for Intellectual Property Protection of EaaS Models
Hongjie Zhang
Zhiqi Zhao
Hanzhou Wu
Zhihua Xia
Athanasios V. Vasilakos
171
0
0
19 Oct 2025
Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation
Kanchon Gharami
Hansaka Aluvihare
Shafika Showkat Moni
Berker Peköz
149
2
0
31 Aug 2025
BESA: Boosting Encoder Stealing Attack with Perturbation Recovery
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Xuhao Ren
Haotian Liang
Yajie Wang
Chuan Zhang
Zehui Xiong
Liehuang Zhu
AAML
297
18
0
05 Jun 2025
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
Computer Vision and Pattern Recognition (CVPR), 2025
Haonan An
Guang Hua
Zhengru Fang
Guowen Xu
Susanto Rahardja
Yuguang Fang
AAML
418
5
0
28 Feb 2025
Examining the Threat Landscape: Foundation Models and Model Stealing
Ankita Raj
Deepankar Varma
Chetan Arora
AAML
604
2
0
25 Feb 2025
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Rongqing Li
Jiaqi Yu
Changsheng Li
Tong Lu
Ye Yuan
Guoren Wang
MLAU
407
0
0
08 Dec 2024
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook
Meng Yang
Tianqing Zhu
Chi Liu
Wanlei Zhou
Shui Yu
Philip S. Yu
AAML
ELM
PILM
325
2
0
12 Nov 2024
A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality
Hanbo Huang
Yihan Li
Bowen Jiang
Bo Jiang
Lin Liu
Tian Ding
Zhuotao Liu
Shiyu Liang
258
0
0
15 Oct 2024
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?
Likun Zhang
Hao Wu
Guang Dai
Fengyuan Xu
Jin Cao
Fenghua Li
Ben Niu
TDI
240
2
0
24 Sep 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Shaopeng Fu
Xuexue Sun
Ke Qing
Tianhang Zheng
Haiyan Zhao
AAML
MIACV
SILM
665
1
0
05 Aug 2024
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models
Manveer Singh Tamber
Jasper Xian
Jimmy Lin
MLAU
SILM
746
5
0
13 Jun 2024
PromptSync: Bridging Domain Gaps in Vision-Language Models through Class-Aware Prototype Alignment and Discrimination
Anant Khandelwal
VLM
324
3
0
11 Apr 2024
MEA-Defender: A Robust Watermark against Model Extraction Attack
IEEE Symposium on Security and Privacy (S&P), 2024
Peizhuo Lv
Hualong Ma
Kai Chen
Jiachen Zhou
Shengzhi Zhang
Ruigang Liang
Shenchen Zhu
Pan Li
Yingjun Zhang
MIACV
AAML
502
21
0
26 Jan 2024
MEAOD: Model Extraction Attack against Object Detectors
Zeyu Li
Chenghui Shi
Yuwen Pu
Xuhong Zhang
Yu Li
Jinbao Li
R. Beyah
AAML
MIACV
315
4
0
22 Dec 2023
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction
European Conference on Computer Vision (ECCV), 2023
Shuchi Wu
Chuan Ma
Kang Wei
Xiaogang Xu
Ming Ding
Yuwen Qian
Tao Xiang
269
1
0
01 Dec 2023
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
506
8
0
20 Nov 2023
Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service
Yuanmin Tang
Jing Yu
Keke Gai
Xiangyang Qu
Yue Hu
Gang Xiong
Qi Wu
AAML
WaLM
VLM
237
12
0
10 Nov 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Boyang Zhang
Zheng Li
Ziqing Yang
Xinlei He
Michael Backes
Mario Fritz
Yang Zhang
361
10
0
19 Oct 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
Neural Information Processing Systems (NeurIPS), 2023
Jan Dubiñski
Stanislaw Pawlak
Franziska Boenisch
Tomasz Trzciñski
Adam Dziedzic
AAML
370
9
0
12 Oct 2023
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
296
0
0
05 Oct 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Tianshuo Cong
Xinlei He
Yun Shen
Yang Zhang
AAML
TTA
201
11
0
16 Aug 2023
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
371
1
0
09 Aug 2023
Downstream-agnostic Adversarial Examples
IEEE International Conference on Computer Vision (ICCV), 2023
Ziqi Zhou
Shengshan Hu
Rui-Qing Zhao
Qian Wang
L. Zhang
Xianqiang Lyu
Hai Jin
SILM
AAML
359
41
0
23 Jul 2023
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
Rongqing Li
Jiaqi Yu
Changsheng Li
Tong Lu
Ye Yuan
Guoren Wang
MLAU
200
0
0
20 Jul 2023
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Hongwei Yao
Zheng Li
Haiqin Weng
Feng Xue
Kui Ren
Zhan Qin
307
6
0
20 Jun 2023
Extracting Cloud-based Model with Prior Knowledge
Songtao Zhao
Kangjie Chen
Meng Hao
Jian Zhang
Guowen Xu
Hongwei Li
Tianwei Zhang
AAML
MIACV
SILM
MLAU
SLR
424
6
0
07 Jun 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots
USENIX Security Symposium (USENIX Security), 2023
Boyang Zhang
Xinlei He
Yun Shen
Tianhao Wang
Yang Zhang
AAML
284
6
0
23 Feb 2023
Dataset Inference for Self-Supervised Models
Neural Information Processing Systems (NeurIPS), 2022
Adam Dziedzic
Haonan Duan
Muhammad Ahmad Kaleem
Nikita Dhawan
Jonas Guan
Yannis Cattan
Franziska Boenisch
Nicolas Papernot
446
44
0
16 Sep 2022
Auditing Membership Leakages of Multi-Exit Networks
Conference on Computer and Communications Security (CCS), 2022
Zheng Li
Yiyong Liu
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
AAML
218
47
0
23 Aug 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
ACM Computing Surveys (ACM CSUR), 2022
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
361
162
0
16 Jun 2022
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
T. Miura
Satoshi Hasegawa
Toshiki Shibahara
SILM
MIACV
254
58
0
19 Jul 2021
Thieves on Sesame Street! Model Extraction of BERT-based APIs
International Conference on Learning Representations (ICLR), 2019
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACV
MLAU
627
240
0
27 Oct 2019
Contrastive Representation Distillation
International Conference on Learning Representations (ICLR), 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
1.5K
1,260
0
23 Oct 2019
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