Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

27 June 2019

Papers citing "Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference"

16 / 66 papers shown

Title
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 23 71 0 04 Jul 2021
Membership Inference on Word Embedding and Beyond Saeed Mahloujifar Huseyin A. Inan Melissa Chase Esha Ghosh Marcello Hasegawa MIACV SILM 25 46 0 21 Jun 2021
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective Shahbaz Rezaei Zubair Shafiq Xin Liu FedML MIACV 40 13 0 12 May 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging Umang Gupta Dmitris Stripelis Pradeep Lam Paul M. Thompson J. Ambite Greg Ver Steeg MIACV FedML 29 32 0 06 May 2021
Membership Inference Attacks on Knowledge Graphs Yu Wang Lifu Huang Philip S. Yu Lichao Sun MIACV 30 15 0 16 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 35 412 0 14 Mar 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 21 51 0 08 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 17 125 0 04 Feb 2021
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 27 82 0 25 Nov 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 39 213 0 15 Jul 2020
Topology-aware Differential Privacy for Decentralized Image Classification Shangwei Guo Tianwei Zhang Guowen Xu Hanzhou Yu Tao Xiang Yang Liu 27 18 0 14 Jun 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 36 218 0 05 May 2020
Learn to Forget: Machine Unlearning via Neuron Masking Yang Liu Zhuo Ma Ximeng Liu Jian-wei Liu Zhongyuan Jiang Jianfeng Ma Philip Yu K. Ren MU 22 61 0 24 Mar 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 360 0 24 Mar 2020
Disparate Vulnerability to Membership Inference Attacks B. Kulynych Mohammad Yaghini Giovanni Cherubin Michael Veale Carmela Troncoso 15 39 0 02 Jun 2019
To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout Prateek Jain Vivek Kulkarni Abhradeep Thakurta Oliver Williams 52 30 0 06 Mar 2015