Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,058 papers shown

Title
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Kristian Kersting 30 12 0 10 Oct 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand Junfeng Guo Yiming Li Lixu Wang Shu-Tao Xia Heng-Chiao Huang Cong Liu Boheng Li 32 50 0 09 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 32 62 0 08 Oct 2023
Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda J. Blumenstock Nitin Kohli 34 5 0 08 Oct 2023
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation Sunpreet S. Arora Andrew Beams Panagiotis Chatzigiannis Sebastian Meiser Karan Patel ... Harshal Shah Yizhen Wang Yuhang Wu Hao Yang Mahdi Zamani FedML 18 3 0 06 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 30 3 0 06 Oct 2023
From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying Biao Wu Qiang Huang Anthony K. H. Tung 13 0 0 06 Oct 2023
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning Harsh Chaudhari Giorgio Severi Alina Oprea Jonathan R. Ullman 38 4 0 05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 39 3 0 05 Oct 2023
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 18 0 0 05 Oct 2023
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation Koren Abitbul Yehuda Dar TDI 30 2 0 04 Oct 2023
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 43 8 0 03 Oct 2023
Coupling public and private gradient provably helps optimization Ruixuan Liu Zhiqi Bu Yu Wang Sheng Zha George Karypis 44 2 0 02 Oct 2023
Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models Zhou Yang Zhipeng Zhao Chenyu Wang Jieke Shi Dongsum Kim Donggyun Han David Lo SILM AAML MIACV 45 12 0 02 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 42 16 0 01 Oct 2023
On Memorization and Privacy Risks of Sharpness Aware Minimization Young In Kim Pratiksha Agrawal J. Royset Rajiv Khanna FedML 41 3 0 30 Sep 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 46 4 0 30 Sep 2023
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study Alexander Galozy Sadi Alawadi V. Kebande Sławomir Nowaczyk 18 1 0 30 Sep 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 23 16 0 30 Sep 2023
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study Myeongseob Ko Ming Jin Chenguang Wang Ruoxi Jia 35 27 0 29 Sep 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks Vaidehi Patil Peter Hase Joey Tianyi Zhou KELM AAML 31 100 0 29 Sep 2023
Leave-one-out Distinguishability in Machine Learning Jiayuan Ye Anastasia Borovykh Soufiane Hayou Reza Shokri 39 10 0 29 Sep 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 36 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 37 24 0 27 Sep 2023
Critical Infrastructure Security Goes to Space: Leveraging Lessons Learned on the Ground Tim Ellis Briland Hitaj Ulf Lindqvist Deborah Shands L. Tinnel Bruce DeBruhl 23 0 0 26 Sep 2023
Evaluating the Usability of Differential Privacy Tools with Data Practitioners Ivoline C. Ngong Brad Stenger Joseph P. Near Yuanyuan Feng 29 12 0 24 Sep 2023
DeepTheft: Stealing DNN Model Architectures through Power Side Channel Yansong Gao Huming Qiu Zhi-Li Zhang Binghui Wang Hua Ma A. Abuadbba Minhui Xue Anmin Fu Surya Nepal MLAU FedML 43 12 0 21 Sep 2023
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation Xinyu Tang Richard Shin Huseyin A. Inan Andre Manoel Fatemehsadat Mireshghallah Zinan Lin Sivakanth Gopi Janardhan Kulkarni Robert Sim 48 55 0 21 Sep 2023
Information Leakage from Data Updates in Machine Learning Models Tian Hui Farhad Farokhi Olga Ohrimenko FedML AAML KELM MIACV 59 1 0 20 Sep 2023
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning S. Giddens F. Liu 38 1 0 19 Sep 2023
Model Leeching: An Extraction Attack Targeting LLMs Lewis Birch William Hackett Stefan Trawicki N. Suri Peter Garraghan 37 13 0 19 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 23 26 0 15 Sep 2023
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems Guangke Chen Yedi Zhang Fu Song 43 8 0 14 Sep 2023
Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials Yizhan Huang Yichen Li Weibin Wu Jianping Zhang Michael R. Lyu 31 14 0 14 Sep 2023
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass Minxin Du Xiang Yue Sherman S. M. Chow Tianhao Wang Chenyu Huang Huan Sun SILM 37 59 0 13 Sep 2023
Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption Rasoul Akhavan Mahdavi Haoyan Ni Dimitry Linkov Florian Kerschbaum 13 13 0 12 Sep 2023
Fingerprint Attack: Client De-Anonymization in Federated Learning Qiongkai Xu Trevor Cohn Olga Ohrimenko FedML 34 2 0 12 Sep 2023
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System Peixin Zhang Jun Sun Mingtian Tan Xinyu Wang AAML 37 4 0 12 Sep 2023
Privacy Side Channels in Machine Learning Systems Edoardo Debenedetti Giorgio Severi Nicholas Carlini Christopher A. Choquette-Choo Matthew Jagielski Milad Nasr Eric Wallace Florian Tramèr MIALM 51 38 0 11 Sep 2023
A supervised generative optimization approach for tabular data S. Nakamura-Sakai Fadi Hamad Saheed O. Obitayo Vamsi K. Potluru 25 2 0 10 Sep 2023
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach Sofiane Ouaari Ali Burak Ünal Mete Akgün Nícolas Pfeifer 37 0 0 08 Sep 2023
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps David Lo 39 39 0 08 Sep 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 41 11 0 07 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation Xiaochen Zhu Vincent Y. F. Tan Xiaokui Xiao 32 9 0 06 Sep 2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning L. Du Min Chen Mingyang Sun Shouling Ji Peng Cheng Jiming Chen Zhikun Zhang OffRL 53 8 0 06 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks Jingyi Li Guocheng Liao Lin Chen Xu Chen 40 8 0 06 Sep 2023
The Adversarial Implications of Variable-Time Inference Dudi Biton Aditi Misra Efrat Levy J. Kotak Ron Bitton R. Schuster Nicolas Papernot Yuval Elovici Ben Nassi AAML 20 0 0 05 Sep 2023
A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case Hussein A. Aly Abdulaziz Al-Ali Abdulla Al-Ali Q. Malluhi 16 2 0 04 Sep 2023
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems Xinghan Liu Gu Nan Qimei Cui Zeju Li Peiyuan Liu Zebin Xing Hanqing Mu Xiaofeng Tao Tony Q. S. Quek AAML 32 13 0 04 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 31 10 0 31 Aug 2023