Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,056 papers shown

Title
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift Pratiksha Thaker Amrith Rajagopal Setlur Zhiwei Steven Wu Virginia Smith 49 2 0 24 Dec 2023
Personalized Federated Learning with Attention-based Client Selection Zihan Chen Wenlin Yao Cong Shen FedML 32 8 0 23 Dec 2023
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning Youssef Allouah R. Guerraoui John Stephan OOD 31 2 0 22 Dec 2023
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 31 5 0 22 Dec 2023
On the Effectiveness of Unlearning in Session-Based Recommendation Xin Xin Liu Yang Ziqi Zhao Pengjie Ren Zhumin Chen Jun Ma Zhaochun Ren MU 34 3 0 22 Dec 2023
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models Aysan Esmradi Daniel Wankit Yip C. Chan AAML 42 11 0 18 Dec 2023
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity Zhihao Zhu Chenwang Wu Rui Fan Yi Yang Defu Lian Enhong Chen AAML 30 0 0 18 Dec 2023
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 55 0 0 17 Dec 2023
SAME: Sample Reconstruction against Model Extraction Attacks Yi Xie Jie Zhang Shiqian Zhao Tianwei Zhang Xiaofeng Chen AAML MIACV 65 4 0 17 Dec 2023
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning Yuting Ma Yuanzhi Yao Xiaohua Xu FedML 21 5 0 16 Dec 2023
Privacy-Aware Document Visual Question Answering Rubèn Pérez Tito Khanh Nguyen Marlon Tobaben Raouf Kerkouche Mohamed Ali Souibgui ... Lei Kang Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas 38 13 0 15 Dec 2023
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance Ilana Sebag Muni Sreenivas Pydi Jean-Yves Franceschi Alain Rakotomamonjy Mike Gartrell Jamal Atif Alexandre Allauzen 29 2 0 13 Dec 2023
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models Yan Pang Tianhao Wang 30 18 0 13 Dec 2023
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification Bang Wu Xingliang Yuan Shuo Wang Qi Li Minhui Xue Shirui Pan 29 8 0 13 Dec 2023
Data-Free Hard-Label Robustness Stealing Attack Xiaojian Yuan Kejiang Chen Wen Huang Jie Zhang Weiming Zhang Neng H. Yu AAML 26 5 0 10 Dec 2023
QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution Zixi Wang M. C. Gursoy FedML 29 1 0 10 Dec 2023
Membership Inference Attacks on Diffusion Models via Quantile Regression Shuai Tang Zhiwei Steven Wu Sergul Aydore Michael Kearns Aaron Roth 34 14 0 08 Dec 2023
Diffence: Fencing Membership Privacy With Diffusion Models Yuefeng Peng Ali Naseh Amir Houmansadr AAML 28 1 0 07 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 52 2 0 07 Dec 2023
Understanding (Un)Intended Memorization in Text-to-Image Generative Models Ali Naseh Jaechul Roh Amir Houmansadr DiffM 36 6 0 06 Dec 2023
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication Ali Naseh Jaechul Roh Amir Houmansadr 40 6 0 06 Dec 2023
Behavioral Authentication for Security and Safety Cheng Wang Hao Tang Hang Zhu Junhan Zheng Changjun Jiang 21 3 0 06 Dec 2023
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh Philippe Liu Reza Shokri 55 34 0 06 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 55 7 0 04 Dec 2023
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly Yifan Yao Jinhao Duan Kaidi Xu Yuanfang Cai Eric Sun Yue Zhang PILM ELM 57 478 0 04 Dec 2023
Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification An Ngo Rajesh Kumar MinhPhuong Cao AAML 22 0 0 02 Dec 2023
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
AnonPSI: An Anonymity Assessment Framework for PSI Bo Jiang Jian Du Qiang Yan 50 7 0 29 Nov 2023
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions Alexander Boudewijn Andrea Filippo Ferraris D. Panfilo Vanessa Cocca Sabrina Zinutti Karel De Schepper Carlo Rossi Chauvenet 46 3 0 29 Nov 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Kenfack 23 4 0 28 Nov 2023
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings Jean Ogier du Terrail Quentin Klopfenstein Honghao Li Imke Mayer Nicolas Loiseau Mohammad Hallal Félix Balazard M. Andreux 20 2 0 28 Nov 2023
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning Soumya Banerjee Sandip Roy Sayyed Farid Ahamed Devin Quinn Marc Vucovich Dhruv Nandakumar K. Choi Abdul Rahman Edward Bowen Sachin Shetty 40 3 0 28 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 53 19 0 27 Nov 2023
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective Lukas Wutschitz Boris Köpf Andrew Paverd Saravan Rajmohan Ahmed Salem Shruti Tople Santiago Zanella Béguelin Menglin Xia Victor Rühle 54 13 0 27 Nov 2023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong Jiachen T. Wang Chenhui Zhang Zhangheng Li Bo-wen Li Zhangyang Wang 56 29 0 27 Nov 2023
Confidence Is All You Need for MI Attacks Abhishek Sinha Himanshi Tibrewal Mansi Gupta Nikhar Waghela Shivank Garg 14 1 0 26 Nov 2023
Unlearning via Sparse Representations Vedant Shah Frederik Trauble Ashish Malik Hugo Larochelle Michael C. Mozer Sanjeev Arora Yoshua Bengio Anirudh Goyal MU 32 9 0 26 Nov 2023
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification Prakhar Ganesh 47 5 0 24 Nov 2023
DP-NMT: Scalable Differentially-Private Machine Translation Timour Igamberdiev Doan Nam Long Vu Felix Künnecke Zhuo Yu Jannik Holmer Ivan Habernal 40 7 0 24 Nov 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release Jie Fu Qingqing Ye Haibo Hu Zhili Chen Lulu Wang Kuncan Wang Xun Ran 31 14 0 23 Nov 2023
Language Model Inversion John X. Morris Wenting Zhao Justin T. Chiu Vitaly Shmatikov Alexander M. Rush 35 33 0 22 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 32 3 0 21 Nov 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 68 3 0 20 Nov 2023
From Principle to Practice: Vertical Data Minimization for Machine Learning Robin Staab Nikola Jovanović Mislav Balunović Martin Vechev 36 5 0 17 Nov 2023
Towards more Practical Threat Models in Artificial Intelligence Security Kathrin Grosse L. Bieringer Tarek R. Besold Alexandre Alahi 27 12 0 16 Nov 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 66 0 0 16 Nov 2023
Privacy Threats in Stable Diffusion Models Thomas Cilloni Charles Fleming Charles Walter 38 3 0 15 Nov 2023
Transpose Attack: Stealing Datasets with Bidirectional Training Guy Amit Mosh Levy Yisroel Mirsky SILM AAML 41 0 0 13 Nov 2023
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification Zirui Gong Liyue Shen Yanjun Zhang Leo Yu Zhang Jingwei Wang Guangdong Bai Yong Xiang AAML 41 6 0 13 Nov 2023
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 32 6 0 12 Nov 2023