Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models

23 January 2022

Papers citing "Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models"

33 / 33 papers shown

Title
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics Yifeng Mao Bozhidar Stevanoski Yves-Alexandre de Montjoye 47 0 0 25 Apr 2025
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems Xiaohua Feng Yuyuan Li Fengyuan Yu Ke Xiong Junjie Fang L. Zhang Tianyu Du Chaochao Chen AAML 32 0 0 15 Apr 2025
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses Ehsanul Kabir Lucas Craig Shagufta Mehnaz MIACV AAML 38 0 0 05 Apr 2025
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices Yunlong Mao Mingyang Niu Ziqin Dang Chengxi Li Hanning Xia Yuejuan Zhu Haoyu Bian Yuan Zhang Jingyu Hua Sheng Zhong FedML 55 0 0 19 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 56 2 0 01 Mar 2025
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 37 2 0 15 Nov 2024
Privacy Evaluation Benchmarks for NLP Models Wei Huang Yinggui Wang Cen Chen ELM SILM 24 1 0 24 Sep 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? Rui Wen Michael Backes Yang Zhang TDI AAML 41 0 0 05 Sep 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 32 1 0 29 Aug 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 39 2 0 04 Jun 2024
Better Membership Inference Privacy Measurement through Discrepancy Ruihan Wu Pengrun Huang Kamalika Chaudhuri MIACV 32 0 0 24 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 31 7 0 23 May 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 35 4 0 21 Mar 2024
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey Chaoyu Zhang Shaoyu Li AILaw 48 3 0 25 Feb 2024
A Survey on Decentralized Identifiers and Verifiable Credentials Carlo Mazzocca Abbas Acar Selcuk Uluagac R. Montanari Paolo Bellavista Mauro Conti 43 15 0 04 Feb 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
When Machine Learning Models Leak: An Exploration of Synthetic Training Data Manel Slokom Peter-Paul de Wolf Martha Larson MIACV 30 1 0 12 Oct 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML Ziqi Zhang Chen Gong Yifeng Cai Yuanyuan Yuan Bingyan Liu Ding Li Yao Guo Xiangqun Chen FedML 37 16 0 11 Oct 2023
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning Harsh Chaudhari Giorgio Severi Alina Oprea Jonathan R. Ullman 25 5 0 05 Oct 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 21 1 0 07 Jun 2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? Iyiola E. Olatunji Anmar Hizber Oliver Sihlovec Megha Khosla AAML 17 6 0 01 Jun 2023
Privacy Protectability: An Information-theoretical Approach Siping Shi Bihai Zhang Dan Wang 23 1 0 25 May 2023
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning Casey Meehan Florian Bordes Pascal Vincent Kamalika Chaudhuri Chuan Guo 32 18 0 26 Apr 2023
A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids Arwa Alromih John A. Clark P. Gope 29 3 0 23 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 25 2 0 16 Mar 2023
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 19 15 0 01 Dec 2022
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers Guangsheng Zhang B. Liu Huan Tian Tianqing Zhu Ming Ding Wanlei Zhou PILM MIACV 12 5 0 20 Oct 2022
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2 Pier Paolo Tricomi Lisa Facciolo Giovanni Apruzzese Mauro Conti 23 7 0 17 Oct 2022
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems Jiahui Chen Yi Zhao Qi Li Xuewei Feng Ke Xu AAML FedML 25 13 0 08 Oct 2022
Are Attribute Inference Attacks Just Imputation? Bargav Jayaraman David E. Evans TDI MIACV 28 46 0 02 Sep 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 30 106 0 31 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 21 1 0 04 Mar 2022
Correlation inference attacks against machine learning models Ana-Maria Creţu Florent Guépin Yves-Alexandre de Montjoye MIACV AAML 38 5 0 16 Dec 2021