Membership Inference Attack for Computer Vision

MIACV

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

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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 FedML MIACV MoE 49 0 0 15 Oct 2025
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack under Realistic Scenarios Yuval Golbari Navve Wasserman Gal Vardi Michal Irani MIACV 87 0 0 12 Oct 2025
Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial? Akira Ito Takayuki Miura Yosuke Todo AAML MIACV MLAU 64 0 0 08 Oct 2025
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning Yuxuan Bai Gauri Pradhan Marlon Tobaben Antti Honkela MIACV 68 0 0 07 Oct 2025
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks Yehonatan Refael Guy Smorodinsky Ofir Lindenbaum Itay Safran MIACV AAML 52 0 0 25 Sep 2025
MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective Xinwei Zhang Haibo Hu Qingqing Ye Li Bai Huadi Zheng MIACV 80 2 0 23 Sep 2025
The Sample Complexity of Membership Inference and Privacy Auditing Mahdi Haghifam Adam D. Smith Jonathan R. Ullman MIACV 24 0 0 26 Aug 2025
Evaluating the Dynamics of Membership Privacy in Deep Learning Yuetian Chen Zhiqi Wang Nathalie Baracaldo S. Kadhe Lei Yu MIACV 106 1 0 31 Jul 2025
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers Tommaso Green Martin Gubri Haritz Puerto Sangdoo Yun Seong Joon Oh MIACV PILM ELM LRM 556 6 2 18 Jun 2025
Membership Inference Attacks for Unseen Classes Pratiksha Thaker Neil Kale Zhiwei Steven Wu Virginia Smith MIACV 62 0 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 MIACV AAML 132 1 0 06 Jun 2025
Privacy Amplification Through Synthetic Data: Insights from Linear Regression Clément Pierquin A. Bellet Marc Tommasi Matthieu Boussard MIACV 191 0 0 05 Jun 2025
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models Xueqi Cheng Minxing Zheng Shixiang Zhu Yushun Dong MIACV AAML 42 1 0 03 Jun 2025
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack Jing Xue Zhishen Sun Haishan Ye Luo Luo Xiangyu Chang Ivor Tsang Guang Dai MIACV MIALM 117 0 0 03 Jun 2025
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 MIACV FedML 84 1 0 25 May 2025
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 MIACV SILM 127 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 161 2 0 11 Apr 2025
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses Ehsanul Kabir Lucas Craig Shagufta Mehnaz MIACV AAML 138 1 0 05 Apr 2025
Evaluating Membership Inference Attacks in heterogeneous-data setups Bram van Dartel Marc Damie Florian Hahn MIACV MIALM 770 1 0 26 Feb 2025
Hyperparameters in Score-Based Membership Inference Attacks Joonas Jälkö Hibiki Ito Marlon Tobaben Antti Honkela MIACV 82 1 0 10 Feb 2025
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 AAML MIACV 228 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 MIACV AAML 140 1 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 MLAU MIACV 56 2 0 03 Jan 2025
Model Inversion Attacks: A Survey of Approaches and Countermeasures Zhanke Zhou Jianing Zhu Fengfei Yu Xuan Li Xiong Peng Tongliang Liu Bo Han MIACV 54 9 0 15 Nov 2024
Efficient Model Extraction via Boundary Sampling Maor Biton Dor Yisroel Mirsky MLAU MIACV AAML 72 0 0 20 Oct 2024
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data Jie Zhang Debeshee Das Gautam Kamath Florian Tramèr MIALM MIACV 534 33 1 29 Sep 2024
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 MIACV AAML 123 0 0 25 Sep 2024
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 AAML MIACV MLAU 186 3 0 18 Sep 2024
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble Jonathan Rosenthal Shanchao Liang Kevin Zhang Lin Tan MIACV 197 0 0 16 Sep 2024
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 PILM MIACV 159 2 0 20 Aug 2024
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 250 0 0 05 Aug 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 189 3 0 02 Jul 2024
Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability Chenxi Li Abhinav Kumar Zhen Guo Jie Hou R. Tourani AAML MIACV 79 3 0 01 Jul 2024
QUEEN: Query Unlearning against Model Extraction Huajie Chen Tianqing Zhu Lefeng Zhang Bo Liu Derui Wang Wanlei Zhou Minhui Xue MIACV 146 6 0 01 Jul 2024
Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri Xiao Zhang David Evans MIACV MIALM AAML 124 4 0 17 Jun 2024
Better Membership Inference Privacy Measurement through Discrepancy Ruihan Wu Pengrun Huang Kamalika Chaudhuri MIACV 101 1 0 24 May 2024
Knowledge Distillation-Based Model Extraction Attack using Private Counterfactual Explanations Fatima Ezzeddine Omran Ayoub Silvia Giordano AAML MIACV 144 1 0 04 Apr 2024
MisGUIDE : Defense Against Data-Free Deep Learning Model Extraction Mahendra Gurve S. Behera Satyadev Ahlawat Yamuna Prasad MIACV AAML 102 1 0 27 Mar 2024
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 MIACV AAML 142 1 0 20 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu Zihan Wang Yuxiao Chen Qi Lei AAML MIACV 186 7 0 13 Feb 2024
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning Marlon Tobaben Hibiki Ito Joonas Jälkö Yuan He Antti Honkela MIACV 32 4 0 07 Feb 2024
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 MIACV AAML 155 11 0 26 Jan 2024
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference Dancheng Liu Jinjun Xiong MIACV FedML AAML 121 0 0 19 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 93 3 0 22 Dec 2023
SAME: Sample Reconstruction against Model Extraction Attacks Yi Xie Jie Zhang Shiqian Zhao Tianwei Zhang Xiaofeng Chen AAML MIACV 173 4 0 17 Dec 2023
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 43 9 0 08 Dec 2023
Model Extraction Attacks RevisitedACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023 Jiacheng Liang Ren Pang Changjiang Li Ting Wang MIACV MLAU 146 19 0 08 Dec 2023
Security and Privacy Challenges in Deep Learning Models Gopichandh Golla AAML SILM MIACV 84 1 0 23 Nov 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 296 3 0 20 Oct 2023
When Machine Learning Models Leak: An Exploration of Synthetic Training DataPrivacy in Statistical Databases (PSD), 2023 Manel Slokom Peter-Paul de Wolf Martha Larson MIACV 157 4 0 12 Oct 2023

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