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Membership Inference Attack for Computer Vision

MIACV
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Enhancing privacy by understanding and mitigating membership inference attacks. Improves data security and user trust in computer vision applications.

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50 / 248 papers shown
Title
Data Exfiltration by Compression Attack: Definition and Evaluation on Medical Image Data
Data Exfiltration by Compression Attack: Definition and Evaluation on Medical Image Data
Huiyu Li
N. Ayache
H. Delingette
MIACVAAMLMedIm
483
0
0
26 Nov 2025
Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic
Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic
Van-Tai Tran
Shinan Liu
Tian Li
Nick Feamster
MIACV
200
0
0
25 Nov 2025
Model Inversion Attack Against Deep Hashing
Model Inversion Attack Against Deep Hashing
Dongdong Zhao
Qiben Xu
Ranxin Fang
Baogang Song
MIACV
237
0
0
15 Nov 2025
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Li Bai
Qingqing Ye
Xinwei Zhang
Sen Zhang
Zi Liang
Jianliang Xu
Haibo Hu
FedMLMIACVMoE
243
0
0
15 Oct 2025
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack under Realistic Scenarios
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack under Realistic Scenarios
Yuval Golbari
Navve Wasserman
Gal Vardi
Michal Irani
MIACV
289
0
0
12 Oct 2025
Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
Akira Ito
Takayuki Miura
Yosuke Todo
AAMLMIACVMLAU
240
1
0
08 Oct 2025
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
Yuxuan Bai
Gauri Pradhan
Marlon Tobaben
Antti Honkela
MIACV
256
1
0
07 Oct 2025
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
Yehonatan Refael
Guy Smorodinsky
Ofir Lindenbaum
Itay Safran
MIACVAAML
231
0
0
25 Sep 2025
MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective
MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective
Xinwei Zhang
Haibo Hu
Qingqing Ye
Li Bai
Huadi Zheng
MIACV
261
3
0
23 Sep 2025
The Sample Complexity of Membership Inference and Privacy Auditing
The Sample Complexity of Membership Inference and Privacy Auditing
Mahdi Haghifam
Adam D. Smith
Jonathan R. Ullman
MIACV
100
1
0
26 Aug 2025
Evaluating the Dynamics of Membership Privacy in Deep Learning
Evaluating the Dynamics of Membership Privacy in Deep Learning
Yuetian Chen
Zhiqi Wang
Nathalie Baracaldo
S. Kadhe
Lei Yu
MIACV
261
1
0
31 Jul 2025
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
Tommaso Green
Martin Gubri
Haritz Puerto
Sangdoo Yun
Seong Joon Oh
MIACVPILMELMLRM
962
9
2
18 Jun 2025
Membership Inference Attacks for Unseen Classes
Membership Inference Attacks for Unseen Classes
Pratiksha Thaker
Neil Kale
Zhiwei Steven Wu
Virginia Smith
MIACV
249
1
0
06 Jun 2025
When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive LearningACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025
Ruining Sun
Hongsheng Hu
Wei Luo
Zhaoxi Zhang
Yanjun Zhang
Haizhuan Yuan
Leo Yu Zhang
MIACVAAML
259
1
0
06 Jun 2025
Privacy Amplification Through Synthetic Data: Insights from Linear Regression
Clément Pierquin
A. Bellet
Marc Tommasi
Matthieu Boussard
MIACV
303
0
0
05 Jun 2025
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models
Xueqi Cheng
Minxing Zheng
Shixiang Zhu
Yushun Dong
MIACVAAML
162
0
0
03 Jun 2025
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Jing Xue
Zhishen Sun
Haishan Ye
Luo Luo
Xiangyu Chang
Ivor Tsang
Guang Dai
MIACVMIALM
233
0
0
03 Jun 2025
Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated LearningInternational Conference on Wireless Communications and Mobile Computing (IWCMC), 2025
Sayyed Farid Ahamed
Sandip Roy
S. Banerjee
Marc Vucovich
Kevin Choi
A. Rahman
Alison Hu
Edward Bowen
Sachin Shetty
MIACVFedML
160
1
0
25 May 2025
Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks
Information Leakage of Sentence Embeddings via Generative Embedding Inversion AttacksAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Antonios Tragoudaras
Theofanis Aslanidis
Emmanouil Georgios Lionis
Marina Orozco González
Panagiotis Eustratiadis
MIACVSILM
252
2
0
23 Apr 2025
Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy
Georgi Ganev
Meenatchi Sundaram Muthu Selva Annamalai
Sofiane Mahiou
Emiliano De Cristofaro
MIACV
280
2
0
11 Apr 2025
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses
Ehsanul Kabir
Lucas Craig
Shagufta Mehnaz
MIACVAAML
285
1
0
05 Apr 2025
Evaluating Membership Inference Attacks in heterogeneous-data setups
Evaluating Membership Inference Attacks in heterogeneous-data setups
Bram van Dartel
Marc Damie
Florian Hahn
MIACVMIALM
1.0K
1
0
26 Feb 2025
Hyperparameters in Score-Based Membership Inference Attacks
Hyperparameters in Score-Based Membership Inference Attacks
Joonas Jälkö
Hibiki Ito
Marlon Tobaben
Antti Honkela
MIACV
200
2
0
10 Feb 2025
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks
Yixiao Xu
Binxing Fang
Rui Wang
Yinghai Zhou
S. Ji
Yuan Liu
Mohan Li
AAMLMIACV
440
0
0
16 Jan 2025
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation
Ying Chen
Jiajing Chen
Yijie Weng
ChiaHua Chang
Dezhi Yu
Guanbiao Lin
MIACVAAML
299
3
0
04 Jan 2025
HoneypotNet: Backdoor Attacks Against Model ExtractionAAAI Conference on Artificial Intelligence (AAAI), 2025
Yixu Wang
Tianle Gu
Yan Teng
Yingchun Wang
Jiabo He
MLAUMIACV
305
3
0
03 Jan 2025
Model Inversion Attacks: A Survey of Approaches and Countermeasures
Model Inversion Attacks: A Survey of Approaches and Countermeasures
Zhanke Zhou
Jianing Zhu
Fengfei Yu
Xuan Li
Xiong Peng
Tongliang Liu
Bo Han
MIACV
290
0
0
15 Nov 2024
Efficient Model Extraction via Boundary Sampling
Efficient Model Extraction via Boundary Sampling
Maor Biton Dor
Yisroel Mirsky
MLAUMIACVAAML
258
0
0
20 Oct 2024
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
Jie Zhang
Debeshee Das
Gautam Kamath
Florian Tramèr
MIALMMIACV
715
35
1
29 Sep 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance
  Collaborative Learning Schemes
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes
Federico Mazzone
Ahmad Al Badawi
Y. Polyakov
Maarten Everts
Florian Hahn
Andreas Peter
MIACVAAML
225
0
0
25 Sep 2024
Hard-Label Cryptanalytic Extraction of Neural Network Models
Hard-Label Cryptanalytic Extraction of Neural Network ModelsIACR Cryptology ePrint Archive (IACR ePrint), 2024
Yi Chen
Xiaoyang Dong
Jian Guo
Yantian Shen
Anyu Wang
Xiaoyun Wang
AAMLMIACVMLAU
258
3
0
18 Sep 2024
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator
  Ensemble
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble
Jonathan Rosenthal
Shanchao Liang
Kevin Zhang
Lin Tan
MIACV
332
0
0
16 Sep 2024
Inside the Black Box: Detecting Data Leakage in Pre-trained Language
  Encoders
Inside the Black Box: Detecting Data Leakage in Pre-trained Language EncodersEuropean Conference on Artificial Intelligence (ECAI), 2024
Yuan Xin
Hui Yuan
Ning Yu
Dingfan Chen
Mario Fritz
Michael Backes
Yang Zhang
PILMMIACV
272
2
0
20 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
Haiyan Zhao
AAMLMIACVSILM
520
0
0
05 Aug 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning
  Models
A Method to Facilitate Membership Inference Attacks in Deep Learning Models
Zitao Chen
Karthik Pattabiraman
MIACVMLAUAAMLMIALM
299
6
0
02 Jul 2024
Unveiling the Unseen: Exploring Whitebox Membership Inference through
  the Lens of Explainability
Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability
Chenxi Li
Abhinav Kumar
Zhen Guo
Jie Hou
R. Tourani
AAMLMIACV
163
3
0
01 Jul 2024
QUEEN: Query Unlearning against Model Extraction
QUEEN: Query Unlearning against Model Extraction
Huajie Chen
Tianqing Zhu
Lefeng Zhang
Bo Liu
Derui Wang
Wanlei Zhou
Minhui Xue
MIACV
281
9
0
01 Jul 2024
Do Parameters Reveal More than Loss for Membership Inference?
Do Parameters Reveal More than Loss for Membership Inference?
Anshuman Suri
Xiao Zhang
David Evans
MIACVMIALMAAML
291
4
0
17 Jun 2024
Better Membership Inference Privacy Measurement through Discrepancy
Better Membership Inference Privacy Measurement through Discrepancy
Ruihan Wu
Pengrun Huang
Kamalika Chaudhuri
MIACV
189
1
0
24 May 2024
Knowledge Distillation-Based Model Extraction Attack using Private
  Counterfactual Explanations
Knowledge Distillation-Based Model Extraction Attack using Private Counterfactual Explanations
Fatima Ezzeddine
Omran Ayoub
Silvia Giordano
AAMLMIACV
236
0
0
04 Apr 2024
MisGUIDE : Defense Against Data-Free Deep Learning Model Extraction
MisGUIDE : Defense Against Data-Free Deep Learning Model Extraction
Mahendra Gurve
S. Behera
Satyadev Ahlawat
Yamuna Prasad
MIACVAAML
237
1
0
27 Mar 2024
From Mean to Extreme: Formal Differential Privacy Bounds on the Success of Real-World Data Reconstruction Attacks
From Mean to Extreme: Formal Differential Privacy Bounds on the Success of Real-World Data Reconstruction Attacks
Anneliese Riess
Kristian Schwethelm
Johannes Kaiser
Tamara T. Mueller
Julia A. Schnabel
Daniel Rueckert
Alexander Ziller
MIACVAAML
239
1
0
20 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
Sheng Liu
Zihan Wang
Yuxiao Chen
Qi Lei
AAMLMIACV
339
6
0
13 Feb 2024
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
Marlon Tobaben
Hibiki Ito
Joonas Jälkö
Yuan He
Antti Honkela
MIACV
199
4
0
07 Feb 2024
MEA-Defender: A Robust Watermark against Model Extraction Attack
MEA-Defender: A Robust Watermark against Model Extraction AttackIEEE 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
MIACVAAML
276
14
0
26 Jan 2024
Ensembler: Combating model inversion attacks using model ensemble during
  collaborative inference
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference
Dancheng Liu
Jinjun Xiong
MIACVFedMLAAML
173
0
0
19 Jan 2024
MEAOD: Model Extraction Attack against Object Detectors
MEAOD: Model Extraction Attack against Object Detectors
Zeyu Li
Chenghui Shi
Yuwen Pu
Xuhong Zhang
Yu Li
Jinbao Li
R. Beyah
AAMLMIACV
209
3
0
22 Dec 2023
SAME: Sample Reconstruction against Model Extraction Attacks
SAME: Sample Reconstruction against Model Extraction Attacks
Yi Xie
Jie Zhang
Shiqian Zhao
Tianwei Zhang
Xiaofeng Chen
AAMLMIACV
349
5
0
17 Dec 2023
Model Extraction Attacks Revisited
Model Extraction Attacks RevisitedACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023
Jiacheng Liang
Ren Pang
Changjiang Li
Ting Wang
MIACVMLAU
298
23
0
08 Dec 2023
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic DatasetsIEEE Symposium on Security and Privacy (S&P), 2023
Georgi Ganev
Emiliano De Cristofaro
MIACV
399
11
0
08 Dec 2023
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