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
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method Yu Jiang Chee Wei Tan K. Lam FedML MU 36 1 0 17 Nov 2024
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution Jinbo Wang Ruijin Wang Fengli Zhang FedML AAML 29 0 0 16 Nov 2024
On the Privacy Risk of In-context Learning Haonan Duan Adam Dziedzic Mohammad Yaghini Nicolas Papernot Franziska Boenisch SILM PILM 61 36 0 15 Nov 2024
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models Michael Aerni Javier Rando Edoardo Debenedetti Nicholas Carlini Daphne Ippolito F. Tramèr 44 3 0 15 Nov 2024
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 39 2 0 15 Nov 2024
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI S. Giddens F. Liu 32 0 0 14 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models Qian Sun Hanpeng Wu Xi Sheryl Zhang 36 0 0 11 Nov 2024
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling Andreas Athanasiou Kangsoo Jung C. Palamidessi FedML 32 1 0 10 Nov 2024
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service Kai-Fung Chu Haiyue Yuan Jinsheng Yuan Weisi Guo Nazmiye Balta-Ozkan Shujun Li 42 2 0 08 Nov 2024
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method Teodora Baluta Pascal Lamblin Daniel Tarlow Fabian Pedregosa Gintare Karolina Dziugaite MU 32 1 0 07 Nov 2024
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking Xingran Chen Zhenke Wu Xu Shi Hyunghoon Cho Bhramar Mukherjee SyDa 33 1 0 06 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage Hengzhu Liu Tianqing Zhu Lefeng Zhang Ping Xiong MU 39 0 0 06 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 39 0 0 06 Nov 2024
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight Tao Huang Qingyu Huang Xin Shi Jiayang Meng Guolong Zheng Xu Yang Xun Yi 31 0 0 05 Nov 2024
Membership Inference Attacks against Large Vision-Language Models Zhan Li Yongtao Wu Yihang Chen F. Tonin Elias Abad Rocamora V. Cevher 44 4 0 05 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 49 0 0 05 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 26 0 0 04 Nov 2024
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles Patrick Mesana Clément Bénesse H. Lautraite Gilles Caporossi Sébastien Gambs TDI 44 0 0 02 Nov 2024
Dimension-free Private Mean Estimation for Anisotropic Distributions Yuval Dagan Michael I. Jordan Xuelin Yang Lydia Zakynthinou Nikita Zhivotovskiy 39 2 0 01 Nov 2024
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models Haritz Puerto Martin Gubri Sangdoo Yun Seong Joon Oh MIALM 609 2 2 31 Oct 2024
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols Atharv Deshmukh AAML FedML 35 0 0 30 Oct 2024
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications Omar Erak Omar Alhussein Wen Tong 79 0 0 30 Oct 2024
Machine Unlearning using Forgetting Neural Networks Amartya Hatua Trung T. Nguyen Filip Cano Andrew H. Sung MU 30 0 0 29 Oct 2024
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation Azizjon Azimi Bonu Boboeva Ilyas Varshavskiy Shuhrat Khalilbekov Akhlitdin Nizamitdinov Najima Noyoftova Sergey Shulgin 34 0 0 28 Oct 2024
Trustworthiness of Stochastic Gradient Descent in Distributed Learning Hongyang Li Caesar Wu Mohammed Chadli Said Mammar Pascal Bouvry 56 1 0 28 Oct 2024
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation Mingrui Liu Sixiao Zhang Cheng Long AAML 65 2 0 26 Oct 2024
Faster Algorithms for User-Level Private Stochastic Convex Optimization Andrew Lowy Daogao Liu Hilal Asi 33 0 0 24 Oct 2024
Gibberish is All You Need for Membership Inference Detection in Contrastive Language-Audio Pretraining Ruoxi Cheng Yizhong Ding Shuirong Cao Shitong Shao Zhiqiang Wang 34 1 0 24 Oct 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Zhaomin Wu Junyi Hou Yiqun Diao Bingsheng He FedML 45 3 0 23 Oct 2024
CLEAR: Character Unlearning in Textual and Visual Modalities Alexey Dontsov Dmitrii Korzh Alexey Zhavoronkin Boris Mikheev Denis Bobkov Aibek Alanov Oleg Y. Rogov Ivan Oseledets Elena Tutubalina AILaw VLM MU 68 5 0 23 Oct 2024
Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy Fabian P. Krüger Johan Östman Lewis H. Mervin Igor V. Tetko O. Engkvist 27 0 0 22 Oct 2024
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models Chen Qian Dongrui Liu Jie Zhang Yong Liu Jing Shao 40 1 0 22 Oct 2024
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting Bao Q. Tran Viet Anh Nguyen Anh Tran Toan M. Tran 31 0 0 22 Oct 2024
SoK: Dataset Copyright Auditing in Machine Learning Systems L. Du Xuanru Zhou M. Chen Chusong Zhang Zhou Su Peng Cheng Jiming Chen Zhikun Zhang MLAU 21 3 0 22 Oct 2024
Large Language Models Empowered Personalized Web Agents Hongru Cai Yongqi Li Luu Anh Tuan Fengbin Zhu Xiaoyu Shen Wenjie Li Tat-Seng Chua LLMAG 54 12 0 22 Oct 2024
On the Vulnerability of Text Sanitization Meng Tong Kejiang Chen Xiaojian Yuang Xiaozhong Liu Wenbo Zhang Nenghai Yu Jie Zhang 52 0 0 22 Oct 2024
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models J. Ren Kangrui Chen Chen Chen Vikash Sehwag Yue Xing Jiliang Tang Lingjuan Lyu 32 1 0 16 Oct 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning Hassan Ali Surya Nepal S. Kanhere S. Jha AAML FedML 26 1 0 15 Oct 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 37 2 0 15 Oct 2024
A few-shot Label Unlearning in Vertical Federated Learning Hanlin Gu Hong Xi Tae Chee Seng Chan Lixin Fan MU FedML 38 1 0 14 Oct 2024
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning Yiwei Zhang R. Behnia A. Yavuz Reza Ebrahimi E. Bertino FedML 28 2 0 13 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 35 0 0 11 Oct 2024
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes Ruikai Yang M. He Zhengbao He Youmei Qiu X. Huang MU BDL 42 1 0 11 Oct 2024
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models Shojiro Yamabe Tsubasa Takahashi Futa Waseda Koki Wataoka MoMe 86 1 0 11 Oct 2024
Do Unlearning Methods Remove Information from Language Model Weights? Aghyad Deeb Fabien Roger AAML MU 50 14 0 11 Oct 2024
Private Language Models via Truncated Laplacian Mechanism Tianhao Huang Tao Yang Ivan Habernal Lijie Hu Di Wang 35 1 0 10 Oct 2024
MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks Nirob Arefin AI4CE 21 0 0 10 Oct 2024
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning Jingyuan Zhang Yiyang Duan Shuaicheng Niu Yang Cao Wei Yang Bryan Lim 31 1 0 10 Oct 2024
Detecting Training Data of Large Language Models via Expectation Maximization Gyuwan Kim Yang Li Evangelia Spiliopoulou Jie Ma Miguel Ballesteros William Yang Wang MIALM 95 4 2 10 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 50 1 0 10 Oct 2024