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
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition Sander Schulhoff Jeremy Pinto Anaum Khan Louis-Franccois Bouchard Chenglei Si Svetlina Anati Valen Tagliabue Anson Liu Kost Christopher Carnahan Jordan L. Boyd-Graber SILM 21 41 0 24 Oct 2023
Dynamically Weighted Federated k-Means Patrick Holzer Tania Jacob Shubham Kavane FedML 9 1 0 23 Oct 2023
When Machine Learning Models Leak: An Exploration of Synthetic Training Data Manel Slokom Peter-Paul de Wolf Martha Larson MIACV 22 1 0 12 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 10 3 0 06 Oct 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 24 6 0 28 Sep 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 27 24 0 27 Sep 2023
Large Language Model Alignment: A Survey Tianhao Shen Renren Jin Yufei Huang Chuang Liu Weilong Dong Zishan Guo Xinwei Wu Yan Liu Deyi Xiong LM&MA 14 169 0 26 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 18 9 0 31 Aug 2023
Probabilistic Dataset Reconstruction from Interpretable Models Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala 13 5 0 29 Aug 2023
ProPILE: Probing Privacy Leakage in Large Language Models Siwon Kim Sangdoo Yun Hwaran Lee Martin Gubri Sungroh Yoon Seong Joon Oh PILM 370 93 3 04 Jul 2023
Your Room is not Private: Gradient Inversion Attack on Reinforcement Learning Miao Li Wenhao Ding Ding Zhao AAML 18 0 0 15 Jun 2023
Gaussian Membership Inference Privacy Tobias Leemann Martin Pawelczyk Gjergji Kasneci 13 14 0 12 Jun 2023
Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks Abhinav Rao S. Vashistha Atharva Naik Somak Aditya Monojit Choudhury 17 17 0 24 May 2023
Sparsity in neural networks can improve their privacy Antoine Gonon Léon Zheng Clément Lalanne Quoc-Tung Le Guillaume Lauga Can Pouliquen 21 2 0 20 Apr 2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks Gyojin Han Jaehyun Choi Haeil Lee Junmo Kim MIACV 14 34 0 10 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 17 26 0 07 Apr 2023
Data Privacy Preservation on the Internet of Things Jaydip Sen S. Dasgupta 8 2 0 01 Apr 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection B. V. Breugel Hao Sun Zhaozhi Qian M. Schaar 8 44 0 24 Feb 2023
Digital Privacy Under Attack: Challenges and Enablers Baobao Song Mengyue Deng Shiva Raj Pokhrel Qiujun Lan R. Doss Gang Li AAML 26 3 0 18 Feb 2023
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus DD 22 5 0 02 Feb 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 11 2 0 18 Jan 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 20 35 0 21 Dec 2022
Memorization of Named Entities in Fine-tuned BERT Models Andor Diera N. Lell Aygul Garifullina A. Scherp 10 0 0 07 Dec 2022
LDL: A Defense for Label-Based Membership Inference Attacks Arezoo Rajabi D. Sahabandu Luyao Niu Bhaskar Ramasubramanian Radha Poovendran AAML 17 3 0 03 Dec 2022
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference Linshan Jiang Qun Song Rui Tan Mo Li 11 4 0 12 Nov 2022
On the Privacy Risks of Algorithmic Recourse Martin Pawelczyk Himabindu Lakkaraju Seth Neel 11 29 0 10 Nov 2022
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack Raksha Ramakrishna Gyorgy Dán 6 2 0 08 Nov 2022
The privacy issue of counterfactual explanations: explanation linkage attacks S. Goethals Kenneth Sörensen David Martens 11 28 0 21 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability Zhao-quan Song Yitan Wang Zheng Yu Licheng Zhang FedML 18 28 0 15 Oct 2022
Towards Lightweight Black-Box Attacks against Deep Neural Networks Chenghao Sun Yonggang Zhang Chaoqun Wan Qizhou Wang Ya Li Tongliang Liu Bo Han Xinmei Tian AAML MLAU 6 5 0 29 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 17 46 0 21 Sep 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 13 35 0 16 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala AAML 16 14 0 02 Sep 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 19 7 0 22 Aug 2022
Differentially Private Counterfactuals via Functional Mechanism Fan Yang Qizhang Feng Kaixiong Zhou Jiahao Chen Xia Hu 9 7 0 04 Aug 2022
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks Xiong Peng Feng Liu Jingfeng Zhang Long Lan Junjie Ye Tongliang Liu Bo Han 6 33 0 11 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 11 44 0 08 Jun 2022
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders K. Wang Bo-Lu Zhao Xiangyu Peng Zheng Hua Zhu Jiankang Deng Xinchao Wang Hakan Bilen Yang You PICV 38 11 0 23 May 2022
Lessons Learned: Defending Against Property Inference Attacks Joshua Stock Jens Wettlaufer Daniel Demmler Hannes Federrath AAML 8 1 0 18 May 2022
Privacy Preserving Machine Learning for Electric Vehicles: A Survey Abdul Rahman Sani M. Hassan Jinjun Chen 22 10 0 17 May 2022
Collaborative Drug Discovery: Inference-level Data Protection Perspective Balázs Pejó Mina Remeli Adam Arany M. Galtier G. Ács 10 3 0 13 May 2022
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems Xugui Zhou Maxfield Kouzel H. Alemzadeh OOD AAML 8 12 0 20 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 14 123 0 18 Apr 2022
Label-Only Model Inversion Attacks via Boundary Repulsion Mostafa Kahla Si-An Chen H. Just R. Jia 16 74 0 03 Mar 2022
Privacy-aware Early Detection of COVID-19 through Adversarial Training Omid Rohanian Samaneh Kouchaki A. Soltan Jenny Yang Morteza Rohanian Yang Yang David A. Clifton AAML OOD 9 6 0 09 Jan 2022
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups A. Wainakh Ephraim Zimmer Sandeep Subedi Jens Keim Tim Grube Shankar Karuppayah Alejandro Sánchez Guinea Max Mühlhäuser 6 9 0 05 Nov 2021
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models Yunhao Yang Parham Gohari Ufuk Topcu AAML 17 3 0 06 Oct 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning Maziar Gomrokchi Susan Amin Hossein Aboutalebi Alexander Wong Doina Precup MIACV AAML 16 3 0 08 Sep 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning Nam Hyeon-Woo Moon Ye-Bin Tae-Hyun Oh FedML 6 113 0 13 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 96 193 0 12 Jul 2021