Making AI Forget You: Data Deletion in Machine Learning

11 July 2019

Papers citing "Making AI Forget You: Data Deletion in Machine Learning"

50 / 118 papers shown

Title
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Zhehao Huang Xinwen Cheng Jing Zhang Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang CLL 50 0 0 21 May 2025
Privacy-Aware Lifelong Learning Ozan Özdenizci Elmar Rueckert Robert Legenstein CLL MU KELM 41 0 0 16 May 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks Xuzhao Li Jingyi Wang Xiaohan Yuan Peixin Zhang Zengchang Qin Peng Kuang Kui Ren AAML MU 57 0 0 10 May 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models Xiaoyu Xu Minxin Du Qingqing Ye Haibo Hu MU 60 0 0 07 May 2025
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning Siyi Chen Yimeng Zhang Sijia Liu Q. Qu AAML 252 0 0 30 Apr 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li Yihua Zhang Shuai Zhang Ming Wang Sijia Liu Pin-Yu Chen MoMe 71 4 0 15 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 256 0 0 08 Apr 2025
Benchmarking Federated Machine Unlearning methods for Tabular Data Chenguang Xiao Abhirup Ghosh Han Wu Shuo Wang Diederick van Thiel MU 47 0 0 01 Apr 2025
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets Wenyu Wang Hao Fei Xiaotian Ye Z. Z. Ren Ziyang Chen Pengjie Ren MU KELM 227 0 0 06 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 0 0 02 Mar 2025
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models Yu He Boheng Li Lu Liu Zhongjie Ba Wei Dong Yiming Li Zengchang Qin Kui Ren Chong Chen MIALM 79 0 0 26 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Joey Tianyi Zhou MU CLL 81 2 0 20 Feb 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu Junlong Li Kun Gao B. Liu Lefei Zhang Wanlei Zhou Yanmei Zhang AAML MU 85 0 0 28 Jan 2025
Unlearning Clients, Features and Samples in Vertical Federated Learning Ayush K. Varshney Konstantinos Vandikas V. Torra MU 49 1 0 23 Jan 2025
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 40 2 0 23 Oct 2024
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization Phillip Guo Aaquib Syed Abhay Sheshadri Aidan Ewart Gintare Karolina Dziugaite KELM MU 49 6 0 16 Oct 2024
Efficient Federated Unlearning under Plausible Deniability Ayush K. Varshney V. Torra MU 40 3 0 13 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 54 0 0 10 Oct 2024
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept YuXuan Wu Bonaventure F. P. Dossou Dianbo Liu MU 31 0 0 08 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 53 12 0 03 Oct 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 52 5 0 18 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 85 4 0 17 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 50 3 0 15 Sep 2024
Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning Huaxi Huang Xin Yuan Qiyu Liao Dadong Wang Tongliang Liu DiffM 37 0 0 05 Sep 2024
Accurate Forgetting for All-in-One Image Restoration Model Xin Su Zhuoran Zheng CLL 43 1 0 01 Sep 2024
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model Zhuan Shi Jing Yan Xiaoli Tang Lingjuan Lyu Boi Faltings 49 1 0 29 Aug 2024
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 41 0 0 14 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 71 7 0 01 Aug 2024
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs Zhenhua Liu Tong Zhu Chuanyuan Tan Wenliang Chen PILM MU 56 9 0 14 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 67 8 0 25 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 49 3 0 21 Jun 2024
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 48 2 0 20 Jun 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs S. Kadhe Farhan Ahmed Dennis Wei Nathalie Baracaldo Inkit Padhi MoMe MU 33 7 0 17 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 45 2 0 11 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 47 6 0 10 Jun 2024
Generative Unlearning for Any Identity Juwon Seo Sung-Hoon Lee Tae-Young Lee Seungjun Moon Gyeong-Moon Park 52 5 0 16 May 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning Jinghan Jia Yihua Zhang Yimeng Zhang Jiancheng Liu Bharat Runwal James Diffenderfer B. Kailkhura Sijia Liu MU 48 35 0 28 Apr 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 55 3 0 22 Apr 2024
Machine Unlearning via Null Space Calibration Huiqiang Chen Tianqing Zhu Xin Yu Wanlei Zhou 46 6 0 21 Apr 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 47 14 0 21 Feb 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 47 7 0 18 Nov 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 36 2 0 12 Oct 2023
Unlearning with Fisher Masking Yufang Liu Changzhi Sun Yuanbin Wu Aimin Zhou MU 23 5 0 09 Oct 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 59 7 0 25 Sep 2023
Task-Aware Machine Unlearning and Its Application in Load Forecasting Wangkun Xu Fei Teng MU AI4TS 48 3 0 28 Aug 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 33 7 0 23 Aug 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 30 4 0 20 Jul 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD Anvith Thudi Hengrui Jia Casey Meehan Ilia Shumailov Nicolas Papernot 38 3 0 01 Jul 2023
"Private Prediction Strikes Back!'' Private Kernelized Nearest Neighbors with Individual Renyi Filter Yuqing Zhu Xuandong Zhao Chuan Guo Yu-Xiang Wang 32 4 0 12 Jun 2023
Training Data Extraction From Pre-trained Language Models: A Survey Shotaro Ishihara 37 46 0 25 May 2023