A Survey of Privacy Attacks in Machine Learning

15 July 2020

Papers citing "A Survey of Privacy Attacks in Machine Learning"

50 / 105 papers shown

Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 25 0 0 05 May 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning Zekai Chen Xunkai Li Y. X. Zhu Rong-Hua Li Guoren Wang FedML 27 0 0 19 Apr 2025
Benchmarking Federated Machine Unlearning methods for Tabular Data Chenguang Xiao Abhirup Ghosh Han Wu Shuo Wang Diederick van Thiel MU 42 0 0 01 Apr 2025
THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models Yujin Huang Zhi Zhang Qingchuan Zhao Xingliang Yuan Chunyang Chen 32 0 0 31 Mar 2025
The Data Sharing Paradox of Synthetic Data in Healthcare Jim Achterberg Bram van Dijk Saif ul Islam Hafiz Muhammad Waseem Parisis Gallos Gregory Epiphaniou Carsten Maple Marcel Haas M. Spruit 43 0 0 26 Mar 2025
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning H. B. Meftah W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 46 0 0 06 Mar 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction Nazmul Islam Mohammad Zulkernine 40 0 0 03 Mar 2025
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Kaixiang Zhao Lincan Li Kaize Ding Neil Zhenqiang Gong Yue Zhao Yushun Dong AAML 37 0 0 22 Feb 2025
PPO-MI: Efficient Black-Box Model Inversion via Proximal Policy Optimization Xinpeng Shou 78 0 0 21 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 42 1 0 18 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 72 5 0 17 Feb 2025
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks Awa Khouna Julien Ferry Thibaut Vidal AAML 39 0 0 07 Feb 2025
Training Set Reconstruction from Differentially Private Forests: How Effective is DP? Alice Gorgé Julien Ferry Sébastien Gambs Thibaut Vidal 62 0 0 07 Feb 2025
Rethinking Membership Inference Attacks Against Transfer Learning Cong Wu Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 59 25 0 20 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 62 0 0 30 Dec 2024
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 88 0 0 02 Dec 2024
Inference Privacy: Properties and Mechanisms Fengwei Tian Ravi Tandon 61 0 0 27 Nov 2024
Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid Yang Yang Xun Yuan Arwa Alromih A. Pasikhani P. Gope Biplab Sikdar 61 0 0 27 Nov 2024
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition Idris Zakariyya Linda Tran Kaushik Bhargav Sivangi Paul Henderson F. Deligianni 21 0 0 04 Nov 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 39 1 0 10 Oct 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey Yi Zhang Zhen Chen Chih-Hong Cheng Wenjie Ruan Xiaowei Huang Dezong Zhao David Flynn Siddartha Khastgir Xingyu Zhao MedIm 30 3 0 26 Sep 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes Federico Mazzone Ahmad Al Badawi Y. Polyakov Maarten Everts Florian Hahn Andreas Peter MIACV AAML 31 0 0 25 Sep 2024
Deep Learning Under Siege: Identifying Security Vulnerabilities and Risk Mitigation Strategies Jamal N. Al-Karaki Muhammad Al-Zafar Khan Mostafa Mohamad Dababrata Chowdhury 26 0 0 14 Sep 2024
Calibrating Noise for Group Privacy in Subsampled Mechanisms Yangfan Jiang Xinjian Luo Yin Yang Xiaokui Xiao 20 2 0 19 Aug 2024
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs) Apurv Verma Satyapriya Krishna Sebastian Gehrmann Madhavan Seshadri Anu Pradhan Tom Ault Leslie Barrett David Rabinowitz John Doucette Nhathai Phan 47 8 0 20 Jul 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 21 1 0 12 Jul 2024
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment Yufan Liu Wanqian Zhang Dayan Wu Zheng-Shen Lin Jingzi Gu Weiping Wang 29 1 0 11 Jul 2024
Information Density Bounds for Privacy Sara Saeidian Leonhard Grosse Parastoo Sadeghi Mikael Skoglund T. Oechtering 36 0 0 01 Jul 2024
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics Ivan A. Fernandez Subash Neupane Trisha Chakraborty Shaswata Mitra Sudip Mittal Nisha Pillai Jingdao Chen Shahram Rahimi 47 1 0 27 Jun 2024
Privacy Implications of Explainable AI in Data-Driven Systems Fatima Ezzeddine 15 2 0 22 Jun 2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning Mina Rafiei Mohammadmahdi Maheri Hamid R. Rabiee 19 0 0 01 Jun 2024
The Data Minimization Principle in Machine Learning Prakhar Ganesh Cuong Tran Reza Shokri Ferdinando Fioretto 19 4 0 29 May 2024
ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries Rachel Cummings Shlomi Hod Jayshree Sarathy Marika Swanberg 25 2 0 02 May 2024
Enhancing Privacy and Security of Autonomous UAV Navigation Vatsal Aggarwal A. Kaushik C. Jutla N. Ratha AAML 33 1 0 26 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images Jacopo Bonato Marco Cotogni Luigi Sabetta MU CLL 42 4 0 19 Apr 2024
Privacy Re-identification Attacks on Tabular GANs Abdallah Alshantti Adil Rasheed Frank Westad AAML 19 3 0 31 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 28 4 0 21 Mar 2024
Trained Random Forests Completely Reveal your Dataset Julien Ferry Ricardo Fukasawa Timothée Pascal Thibaut Vidal AAML 21 6 0 29 Feb 2024
Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift Xinhao Liu Yingzhao Jiang Zetao Lin 21 0 0 28 Feb 2024
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey Chaoyu Zhang Shaoyu Li AILaw 43 3 0 25 Feb 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 23 5 0 29 Jan 2024
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model Yang Li Chunhe Xia Wanshuang Lin Tianbo Wang 21 3 0 02 Jan 2024
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control Ka-Ho Chow Wenqi Wei Lei Yu 17 4 0 02 Jan 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 11 5 0 22 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 17 0 0 18 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 7 2 0 05 Dec 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 27 2 0 29 Nov 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Joslin Kenfack 10 3 0 28 Nov 2023
A Unified Hardware-based Threat Detector for AI Accelerators Xiaobei Yan Han Qiu Tianwei Zhang 8 2 0 28 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 51 3 0 20 Nov 2023