Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,051 papers shown

Title
Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning Wassim Bouaziz El-Mahdi El-Mhamdi Nicolas Usunier TDI AAML 41 1 0 09 Oct 2024
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning Qiang Hu Hengxiang Zhang Hongxin Wei 26 1 0 09 Oct 2024
Machine Unlearning in Forgettability Sequence Junjie Chen Qian Chen Jian Lou Xiaoyu Zhang Kai Wu Zilong Wang MU 23 0 0 09 Oct 2024
Fine-tuning can Help Detect Pretraining Data from Large Language Models H. Zhang Songxin Zhang Bingyi Jing Hongxin Wei 43 0 0 09 Oct 2024
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation Daniela Gallo Angelica Liguori Ettore Ritacco Luca Caviglione Fabrizio Durante Giuseppe Manco 23 0 0 08 Oct 2024
Private and Communication-Efficient Federated Learning based on Differentially Private Sketches Meifan Zhang Zhanhong Xie Lihua Yin FedML 34 1 0 08 Oct 2024
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD Thomas Steinke Milad Nasr Arun Ganesh Borja Balle Christopher A. Choquette-Choo Matthew Jagielski Jamie Hayes Abhradeep Thakurta Adam Smith Andreas Terzis 34 7 0 08 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 33 0 0 07 Oct 2024
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 33 0 0 07 Oct 2024
Privacy Vulnerabilities in Marginals-based Synthetic Data Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 26 3 0 07 Oct 2024
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models Theo Putterman Derek Lim Yoav Gelberg Stefanie Jegelka Haggai Maron AI4CE 43 5 0 05 Oct 2024
ConDa: Fast Federated Unlearning with Contribution Dampening Vikram S Chundawat Pushkar Niroula Prasanna Dhungana Stefan Schoepf Murari Mandal Alexandra Brintrup FedML 26 3 0 05 Oct 2024
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models Chumeng Liang Jiaxuan You 40 0 0 04 Oct 2024
Ward: Provable RAG Dataset Inference via LLM Watermarks Nikola Jovanović Robin Staab Maximilian Baader Martin Vechev 172 1 0 04 Oct 2024
Mitigating Downstream Model Risks via Model Provenance Keyu Wang Abdullah Norozi Iranzad Scott Schaffter Doina Precup Jonathan Lebensold 33 1 0 03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 86 7 0 03 Oct 2024
Deep Unlearn: Benchmarking Machine Unlearning Xavier F. Cadet Anastasia Borovykh Mohammad Malekzadeh S. Ahmadi-Abhari Hamed Haddadi BDL MU 37 1 0 02 Oct 2024
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data Jie Zhang Debeshee Das Gautam Kamath Florian Tramèr MIALM MIACV 238 16 1 29 Sep 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning Jiaxin Li Marco Arazzi Antonino Nocera Mauro Conti 36 2 0 28 Sep 2024
Membership Privacy Evaluation in Deep Spiking Neural Networks Jiaxin Li Gorka Abad S. Picek Mauro Conti AAML 33 1 0 28 Sep 2024
Predicting and analyzing memorization within fine-tuned Large Language Models Jérémie Dentan Davide Buscaldi A. Shabou Sonia Vanier 40 0 0 27 Sep 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 44 4 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 36 0 0 25 Sep 2024
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning H. Hayati C. Murguia N. van de Wouw FedML 28 0 0 25 Sep 2024
A Hybrid Quantum Neural Network for Split Learning Hevish Cowlessur Chandra Thapa T. Alpcan S. Çamtepe 39 0 0 25 Sep 2024
Privacy Evaluation Benchmarks for NLP Models Wei Huang Yinggui Wang Cen Chen ELM SILM 24 1 0 24 Sep 2024
GenAI Advertising: Risks of Personalizing Ads with LLMs Brian Tang Kaiwen Sun Noah T. Curran F. Schaub Kang G. Shin SILM 32 2 0 23 Sep 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method Weichao Zhang Ruqing Zhang Jiafeng Guo Maarten de Rijke Yixing Fan Xueqi Cheng 38 8 0 23 Sep 2024
Order of Magnitude Speedups for LLM Membership Inference Rongting Zhang Martín Bertrán Aaron Roth 44 1 0 22 Sep 2024
Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study Changlong Ji Stephane Maag Richard Heusdens Qiongxiu Li FedML 34 2 0 21 Sep 2024
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem Qiongxiu Li Lixia Luo Agnese Gini Changlong Ji Zhanhao Hu Xiao-Li Li Chengfang Fang Jie Shi Xiaolin Hu FedML 34 3 0 21 Sep 2024
Data-centric NLP Backdoor Defense from the Lens of Memorization Zhenting Wang Zhizhi Wang Mingyu Jin Mengnan Du Juan Zhai Shiqing Ma 33 3 0 21 Sep 2024
Training Large ASR Encoders with Differential Privacy Geeticka Chauhan Steve Chien Om Thakkar Abhradeep Thakurta Arun Narayanan 33 1 0 21 Sep 2024
Data Poisoning and Leakage Analysis in Federated Learning Wenqi Wei Tiansheng Huang Zachary Yahn Anoop Singhal Margaret Loper Ling Liu FedML SILM 33 0 0 19 Sep 2024
Extracting Memorized Training Data via Decomposition Ellen Su Anu Vellore Amy Chang Raffaele Mura Blaine Nelson Paul Kassianik Amin Karbasi 29 2 0 18 Sep 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 42 5 0 18 Sep 2024
What to Consider When Considering Differential Privacy for Policy Priyanka Nanayakkara Jessica Hullman 16 2 0 18 Sep 2024
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities Zikai Zhang Suman Rath Jiaohao Xu Tingsong Xiao 48 1 0 16 Sep 2024
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble Jonathan Rosenthal Shanchao Liang Kevin Zhang Lin Tan MIACV 32 0 0 16 Sep 2024
Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges Vinay Samuel Yue Zhou Henry Peng Zou AAML 28 5 0 16 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 50 3 0 15 Sep 2024
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem Weijie J. Su 31 1 0 14 Sep 2024
Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking Stav Cohen Ron Bitton Ben Nassi 44 4 0 12 Sep 2024
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models Hongyan Chang Ali Shahin Shamsabadi Kleomenis Katevas Hamed Haddadi Reza Shokri MIALM 63 6 0 11 Sep 2024
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective Aoting Hu Yanzhi Chen Renjie Xie Adrian Weller 38 0 0 10 Sep 2024
Doppelgänger's Watch: A Split Objective Approach to Large Language Models S. Ghasemlou Ashish Katiyar Aparajita Saraf Seungwhan Moon Mangesh Pujari Pinar E. Donmez Babak Damavandi Anuj Kumar 44 0 0 09 Sep 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 63 0 0 09 Sep 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? Rui Wen Michael Backes Yang Zhang TDI AAML 44 0 0 05 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding Cheng Wang Yiwei Wang Bryan Hooi Yujun Cai Nanyun Peng Kai-Wei Chang 42 3 0 05 Sep 2024
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications Riccardo Taiello Sergen Cansiz Marc Vesin Francesco Cremonesi Lucia Innocenti Melek Önen Marco Lorenzi 51 0 0 02 Sep 2024