Certified Data Removal from Machine Learning Models

8 November 2019

Chuan Guo

Tom Goldstein

Awni Y. Hannun

L. V. D. van der Maaten

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Papers citing "Certified Data Removal from Machine Learning Models"

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Title
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li Yihua Zhang Shuai Zhang M. Wang Sijia Liu Pin-Yu Chen MoMe 60 2 0 15 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 78 0 0 08 Apr 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Christoforos N. Spartalis T. Semertzidis Efstratios Gavves P. Daras MU 76 0 0 24 Mar 2025
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets Wenyu Wang M. Zhang Xiaotian Ye Z. Z. Ren Z. Chen Pengjie Ren MU KELM 102 0 0 06 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 43 0 0 02 Mar 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning Weiqi Wang Chenhan Zhang Zhiyi Tian Shushu Liu Shui Yu MU 34 0 0 27 Feb 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU 70 1 0 27 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 123 2 0 21 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Mohit Bansal MU CLL 73 2 0 20 Feb 2025
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models M. Russinovich Ahmed Salem MU CLL 57 0 0 20 Feb 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu J. Li Kun Gao B. Liu L. Zhang Wanlei Zhou Y. Zhang AAML MU 75 0 0 28 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 30 0 0 21 Jan 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 93 0 0 21 Dec 2024
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 35 2 0 23 Oct 2024
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept YuXuan Wu Bonaventure F. P. Dossou Dianbo Liu MU 16 0 0 08 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 55 6 0 04 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 45 10 0 03 Oct 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 69 3 0 17 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 43 3 0 15 Sep 2024
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage Md. Rafi Ur Rashid Jing Liu T. Koike-Akino Shagufta Mehnaz Ye Wang MU SILM 31 3 0 30 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Jundong Li MU 57 6 0 01 Aug 2024
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models Haoyu Tang Ye Liu Xukai Liu Xukai Liu Yanghai Zhang Kai Zhang Xiaofang Zhou Enhong Chen MU 62 3 0 25 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 52 8 0 25 Jun 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 53 7 0 24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 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 39 2 0 20 Jun 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 24 31 0 28 Apr 2024
Machine Unlearning via Null Space Calibration Huiqiang Chen Tianqing Zhu Xin Yu Wanlei Zhou 23 6 0 21 Apr 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong kyu Lee Qiuchen Zhang Carl Yang Jian Lou Li Xiong MU SSL 16 4 0 19 Jan 2024
TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini Zhili Feng Avi Schwarzschild Zachary Chase Lipton J. Zico Kolter MU CLL 38 141 0 11 Jan 2024
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning Jian Zhang Bowen Li Jie Li Chentao Wu MU 23 3 0 22 Nov 2023
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 38 7 0 18 Nov 2023
Unlearning with Fisher Masking Yufang Liu Changzhi Sun Yuanbin Wu Aimin Zhou MU 10 4 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 53 7 0 25 Sep 2023
Task-Aware Machine Unlearning and Its Application in Load Forecasting Wangkun Xu Fei Teng MU AI4TS 8 3 0 28 Aug 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 14 4 0 20 Jul 2023
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 19 8 0 10 Jul 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD Anvith Thudi Hengrui Jia Casey Meehan Ilia Shumailov Nicolas Papernot 12 3 0 01 Jul 2023
Data Redaction from Conditional Generative Models Zhifeng Kong Kamalika Chaudhuri KELM 16 7 0 18 May 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 17 121 0 20 Feb 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare Juexiao Zhou Haoyang Li Xingyu Liao Bin Zhang Wenjia He Zhongxiao Li Longxi Zhou Xin Gao MU 18 12 0 20 Feb 2023
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 21 6 0 28 Oct 2022
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 26 25 0 17 Oct 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 29 102 0 30 Jun 2022
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 40 16 0 29 Jun 2022
Debugging using Orthogonal Gradient Descent Narsimha Chilkuri C. Eliasmith 16 1 0 17 Jun 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 20 17 0 31 May 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 12 67 0 02 Mar 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun M. Zhang Bolin Ding MU 11 84 0 18 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip H. S. Torr Ponnurangam Kumaraguru AAML ELM MU 22 44 0 17 Jan 2022