Overlearning Reveals Sensitive Attributes

28 May 2019

Papers citing "Overlearning Reveals Sensitive Attributes"

32 / 32 papers shown

Title
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 45 1 0 24 May 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing Mohammad Malekzadeh F. Kawsar FedML 27 5 0 20 Oct 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 26 1 0 07 Jun 2023
Secret-Keeping in Question Answering Nathaniel W. Rollings Kent O'Sullivan Sakshum Kulshrestha KELM 30 0 0 16 Mar 2023
Bounding Training Data Reconstruction in DP-SGD Jamie Hayes Saeed Mahloujifar Borja Balle AAML FedML 33 39 0 14 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 21 2 0 04 Feb 2023
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy Ergute Bao Yizheng Zhu X. Xiao Yifan Yang Beng Chin Ooi B. Tan Khin Mi Mi Aung FedML 31 19 0 08 Dec 2022
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores Ziqi Yang Li-Juan Wang D. Yang Jie Wan Ziming Zhao E. Chang Fan Zhang Kui Ren AAML 24 15 0 01 Dec 2022
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 64 161 0 23 Nov 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference Mu Yuan Lan Zhang Zimu Zheng Yi-Nan Zhang Xiang-Yang Li 25 2 0 28 Sep 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models Xinlei He Zheng Li Weilin Xu Cory Cornelius Yang Zhang MIACV 38 24 0 22 Aug 2022
The Connection between Out-of-Distribution Generalization and Privacy of ML Models Divyat Mahajan Shruti Tople Amit Sharma OOD 21 7 0 07 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 30 50 0 06 Oct 2021
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
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 19 36 0 10 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 19 42 0 25 May 2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 22 11 0 23 Apr 2021
Obfuscation of Images via Differential Privacy: From Facial Images to General Images W. Croft Jörg-Rüdiger Sack W. Shi PICV 23 22 0 19 Feb 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz Ziyu Liu Thomas Steinke FedML 44 232 0 12 Feb 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
Confidential Machine Learning on Untrusted Platforms: A Survey Sagar Sharma Keke Chen FedML 22 15 0 15 Dec 2020
Quantifying Privacy Leakage in Graph Embedding Vasisht Duddu A. Boutet Virat Shejwalkar MIACV 17 119 0 02 Oct 2020
Attribute Privacy: Framework and Mechanisms Wanrong Zhang O. Ohrimenko Rachel Cummings 18 36 0 08 Sep 2020
Privacy-preserving Voice Analysis via Disentangled Representations Ranya Aloufi Hamed Haddadi David E. Boyle DRL 19 58 0 29 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 39 213 0 15 Jul 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 24 112 0 24 Jun 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 31 217 0 05 May 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 21 262 0 31 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 267 13,368 0 25 Aug 2014