Machine Learning Models that Remember Too Much

22 September 2017

Papers citing "Machine Learning Models that Remember Too Much"

50 / 217 papers shown

Title
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks Rui Zhang Yun Shen Hongwei Li Wenbo Jiang Hanxiao Chen Yuan Zhang Guowen Xu Yang Zhang SILM AAML 17 0 0 16 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 32 0 0 05 May 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 199 0 0 08 Apr 2025
ESC: Erasing Space Concept for Knowledge Deletion Tae-Young Lee Sundong Park M. Jeon Hyoseok Hwang Gyeong-Moon Park KELM MU 42 0 0 03 Apr 2025
Instance-Level Data-Use Auditing of Visual ML Models Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter MLAU 60 0 0 28 Mar 2025
Hiding Images in Diffusion Models by Editing Learned Score Functions Haoyu Chen Yunqiao Yang Nan Zhong Kede Ma DiffM 68 0 0 24 Mar 2025
Captured by Captions: On Memorization and its Mitigation in CLIP Models Wenhao Wang Adam Dziedzic Grace C. Kim Michael Backes Franziska Boenisch 93 0 0 11 Feb 2025
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study Eric Aubinais Philippe Formont Pablo Piantanida Elisabeth Gassiat 50 0 0 10 Feb 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni Martine De Cock Gilles Caporossi Afaf Taik Reihaneh Rabbany G. Farnadi 78 0 0 21 Jan 2025
Privacy-Preserving Brain-Computer Interfaces: A Systematic Review K. Xia W. Duch Y. Sun K. Xu W. Fang ... Y. Zhang D. Sang X. Xu F-Y Wang D. Wu 103 34 0 16 Dec 2024
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 96 47 0 18 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
Props for Machine-Learning Security Ari Juels Farinaz Koushanfar 33 2 0 27 Oct 2024
Non-transferable Pruning Ruyi Ding Lili Su A. A. Ding Yunsi Fei AAML 24 2 0 10 Oct 2024
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense Yixiang Qiu Hongyao Yu Hao Fang Wenbo Yu Wenbo Yu Bin Chen Shu-Tao Xia Ke Xu Ke Xu AAML 37 1 0 07 Oct 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models G. Feretzakis V. Verykios 29 10 0 26 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
AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images Santanu Roy Archit Gupta Shubhi Tiwari Palak Sahu MedIm 30 4 0 12 Sep 2024
Few-shot Adaptation of Medical Vision-Language Models Fereshteh Shakeri Yunshi Huang Julio Silva-Rodríguez Houda Bahig An Tang Jose Dolz Ismail Ben Ayed VLM 36 2 0 05 Sep 2024
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model Lianyu Wang Ming Wang Huazhu Fu Daoqiang Zhang 42 2 0 23 Aug 2024
Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance Georgi Ganev 40 0 0 24 Jul 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks Yixiang Qiu Hao Fang Hongyao Yu Bin Chen Meikang Qiu Shu-Tao Xia AAML 47 11 0 18 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 75 1 0 02 Jul 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 52 2 0 04 Jun 2024
Watermarking Counterfactual Explanations Hangzhi Guo Amulya Yadav AAML 38 0 0 29 May 2024
The Mosaic Memory of Large Language Models Igor Shilov Matthieu Meeus Yves-Alexandre de Montjoye 47 3 0 24 May 2024
Kernel Corrector LSTM Rodrigo Tuna Yassine Baghoussi Carlos Soares João Mendes-Moreira KELM AI4TS 24 0 0 28 Apr 2024
Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang Jung-Eun Kim 44 2 0 26 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 70 8 0 31 Mar 2024
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models Shanglun Feng Florian Tramèr SILM 40 14 0 30 Mar 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 44 0 0 08 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Inference Attacks Against Face Recognition Model without Classification Layers Yuanqing Huang Huilong Chen Yinggui Wang Lei Wang 42 1 0 24 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 37 3 0 22 Jan 2024
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models Ziqiang Yuan Kaiyuan Wang Shoutai Zhu Ye Yuan Jingya Zhou Yanlin Zhu Wenqi Wei 42 5 0 19 Jan 2024
Facebook Report on Privacy of fNIRS data Md. Imran Hossen Sai Venkatesh Chilukoti Liqun Shan Vijay Srinivas Tida X. Hei 33 0 0 01 Jan 2024
Diffence: Fencing Membership Privacy With Diffusion Models Yuefeng Peng Ali Naseh Amir Houmansadr AAML 28 1 0 07 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 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 42 2 0 29 Nov 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release Jie Fu Qingqing Ye Haibo Hu Zhili Chen Lulu Wang Kuncan Wang Xun Ran 23 14 0 23 Nov 2023
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts Yixin Wu Ning Yu Michael Backes Yun Shen Yang Zhang DiffM 59 8 0 25 Oct 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 50 2 0 20 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
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 16 16 0 30 Sep 2023
Probabilistic Dataset Reconstruction from Interpretable Models Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala 26 5 0 29 Aug 2023
ExD: Explainable Deletion K. Ramokapane A. Rashid 18 1 0 25 Aug 2023
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations Xinpeng Ling Jie Fu Kuncan Wang Haitao Liu Zhili Chen FedML 39 2 0 21 Aug 2023
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection Mohammed Lansari Reda Bellafqira K. Kapusta V. Thouvenot Olivier Bettan Gouenou Coatrieux FedML 30 15 0 07 Aug 2023
The Applicability of Federated Learning to Official Statistics Joshua Stock Oliver Hauke Julius Weissmann Hannes Federrath FedML 19 1 0 28 Jul 2023
Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model Rongke Liu Dong Wang Yizhi Ren Zhen Wang Kaitian Guo Qianqian Qin Xiaolei Liu DiffM 27 12 0 17 Jul 2023