Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,058 papers shown

Title
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators Ziyu Wang Yuting Wu Yongmo Park Sangmin Yoo Xinxin Wang Jason K. Eshraghian Wei D. Lu AAML 27 7 0 13 Apr 2023
Measuring Re-identification Risk CJ Carey Travis Dick Alessandro Epasto Adel Javanmard Josh Karlin ... Andrés Munoz Medina Vahab Mirrokni Gabriel H. Nunes Sergei Vassilvitskii Peilin Zhong 33 9 0 12 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 39 4 0 11 Apr 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 32 0 0 11 Apr 2023
Can sparsity improve the privacy of neural networks? Antoine Gonon Léon Zheng Clément Lalanne Quoc-Tung Le Guillaume Lauga Can Pouliquen 21 0 0 11 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 24 26 0 07 Apr 2023
Does Prompt-Tuning Language Model Ensure Privacy? Shangyu Xie Wei Dai Esha Ghosh Sambuddha Roy Dan Schwartz Kim Laine SILM 58 4 0 07 Apr 2023
When do you need Chain-of-Thought Prompting for ChatGPT? Jiuhai Chen Lichang Chen Heng Huang Dinesh Manocha LRM KELM ReLM ELM 19 43 0 06 Apr 2023
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding Yuke Hu Wei Liang Ruofan Wu Kai Y. Xiao Weiqiang Wang Xiaochen Li Jinfei Liu Zhan Qin 33 8 0 06 Apr 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 35 14 0 05 Apr 2023
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher Jiawei Shao Fangzhao Wu Jun Zhang FedML 41 27 0 04 Apr 2023
Data Privacy Preservation on the Internet of Things Jaydip Sen S. Dasgupta 27 2 0 01 Apr 2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation Takayuki Miura Toshiki Shibahara M. Kii Atsunori Ichikawa Juko Yamamoto Koji Chida SyDa 30 0 0 31 Mar 2023
Have it your way: Individualized Privacy Assignment for DP-SGD Franziska Boenisch Christopher Muhl Adam Dziedzic Roy Rinberg Nicolas Papernot 18 18 0 29 Mar 2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage Ruyi Ding Gongye Cheng Siyue Wang A. A. Ding Yunsi Fei AAML 21 6 0 27 Mar 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 38 18 0 24 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models Nupur Kumari Bin Zhang Sheng-Yu Wang Eli Shechtman Richard Y. Zhang Jun-Yan Zhu VLM 21 184 0 23 Mar 2023
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Kalpesh Krishna Yixiao Song Marzena Karpinska John Wieting Mohit Iyyer DeLMO 21 299 0 23 Mar 2023
Do Backdoors Assist Membership Inference Attacks? Yumeki Goto Nami Ashizawa Toshiki Shibahara Naoto Yanai MIACV 25 2 0 22 Mar 2023
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation Joshua C. Zhao Atul Sharma A. Elkordy Yahya H. Ezzeldin Salman Avestimehr S. Bagchi AAML FedML 43 28 0 21 Mar 2023
Manipulating Transfer Learning for Property Inference Yulong Tian Fnu Suya Anshuman Suri Fengyuan Xu David Evans AAML 31 6 0 21 Mar 2023
Boundary Unlearning Min Chen Weizhuo Gao Gaoyang Liu Kai Peng Chen Wang MU 109 71 0 21 Mar 2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future Jianing Qiu Lin Li Jiankai Sun Jiachuan Peng Peilun Shi ... Bo Xiao Wu Yuan Ningli Wang Dong Xu Benny Lo AI4MH LM&MA 42 128 0 21 Mar 2023
Make Landscape Flatter in Differentially Private Federated Learning Yi Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao FedML 30 55 0 20 Mar 2023
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks Aleksei A. Ponomarenko-Timofeev O. Galinina Ravikumar Balakrishnan N. Himayat Sergey D. Andreev Y. Koucheryavy FedML 18 3 0 17 Mar 2023
Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs Masakazu Ohno Riki Ukyo Tatsuya Amano Hamada Rizk Hirozumi Yamaguchi 24 20 0 17 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 37 8 0 17 Mar 2023
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations Lukas Struppek Dominik Hintersdorf Felix Friedrich Manuel Brack P. Schramowski Kristian Kersting MIACV 38 2 0 16 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 15 0 0 15 Mar 2023
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records Eunbyeol Cho Min Jae Lee Kyunghoon Hur Jiyoun Kim Jinsung Yoon Edward Choi 24 0 0 15 Mar 2023
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning T. Tony Cai Yichen Wang Linjun Zhang 46 16 0 13 Mar 2023
Stealing the Decoding Algorithms of Language Models A. Naseh Kalpesh Krishna Mohit Iyyer Amir Houmansadr MLAU 56 20 0 08 Mar 2023
Considerations on the Theory of Training Models with Differential Privacy Marten van Dijk Phuong Ha Nguyen FedML 38 2 0 08 Mar 2023
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning Xinnan Yuan W. Ni Ming Ding Kang Wei Jun Li H. Vincent Poor FedML 40 37 0 07 Mar 2023
PRIMO: Private Regression in Multiple Outcomes Seth Neel 25 0 0 07 Mar 2023
Private Read-Update-Write with Controllable Information Leakage for Storage-Efficient Federated Learning with Top $r$ Sparsification Sajani Vithana S. Ulukus FedML 33 5 0 07 Mar 2023
Can Membership Inferencing be Refuted? Zhifeng Kong A. Chowdhury Kamalika Chaudhuri MIALM MIACV 35 6 0 07 Mar 2023
A Comparison of Methods for Neural Network Aggregation John Pomerat Aviv Segev OOD FedML 37 0 0 06 Mar 2023
Students Parrot Their Teachers: Membership Inference on Model Distillation Matthew Jagielski Milad Nasr Christopher A. Choquette-Choo Katherine Lee Nicholas Carlini FedML 46 21 0 06 Mar 2023
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens Ayoub Arous Amira Guesmi Muhammad Abdullah Hanif Ihsen Alouani Mohamed Bennai 24 1 0 03 Mar 2023
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance Xin Gu Gautam Kamath Zhiwei Steven Wu 33 12 0 02 Mar 2023
Membership Inference Attack for Beluga Whales Discrimination Voncarlos Marcelo Araújo Sébastien Gambs Clément Chion Robert Michaud L. Schneider H. Lautraite 38 2 0 28 Feb 2023
Differentially Private Distributed Convex Optimization Minseok Ryu Kibaek Kim FedML 35 1 0 28 Feb 2023
Regulating Clients' Noise Adding in Federated Learning without Verification Shu Hong Lingjie Duan 19 0 0 24 Feb 2023
Active Membership Inference Attack under Local Differential Privacy in Federated Learning Truc D. T. Nguyen Phung Lai K. Tran Nhathai Phan My T. Thai FedML 34 18 0 24 Feb 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection B. V. Breugel Hao Sun Zhaozhi Qian M. Schaar 33 45 0 24 Feb 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots Boyang Zhang Xinlei He Yun Shen Tianhao Wang Yang Zhang AAML 37 2 0 23 Feb 2023
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation SeungHwan An Jong-June Jeon DRL 40 8 0 22 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 44 7 0 22 Feb 2023
Multi-Message Shuffled Privacy in Federated Learning Antonious M. Girgis Suhas Diggavi FedML 28 8 0 22 Feb 2023