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
Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications Heng Xu Tianqing Zhu Wanlei Zhou MU AAML 26 1 0 14 Oct 2024
Data Deletion for Linear Regression with Noisy SGD Zhangjie Xia Chi-Hua Wang Guang Cheng 30 2 0 12 Oct 2024
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes Ruikai Yang M. He Zhengbao He Youmei Qiu X. Huang MU BDL 39 1 0 11 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 47 0 0 10 Oct 2024
TCGU: Data-centric Graph Unlearning based on Transferable Condensation Fan Li Xiaoyang Wang Dawei Cheng Wenjie Zhang Ying Zhang Xuemin Lin MU 33 2 0 09 Oct 2024
Machine Unlearning in Forgettability Sequence Junjie Chen Qian Chen Jian Lou Xiaoyu Zhang Kai Wu Zilong Wang MU 18 0 0 09 Oct 2024
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept YuXuan Wu Bonaventure F. P. Dossou Dianbo Liu MU 23 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 53 10 0 03 Oct 2024
Deep Unlearn: Benchmarking Machine Unlearning Xavier F. Cadet Anastasia Borovykh Mohammad Malekzadeh S. Ahmadi-Abhari Hamed Haddadi BDL MU 34 1 0 02 Oct 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang Xinwen Cheng JingHao Zheng Haoran Wang Zhengbao He Tao Li X. Huang MU 47 5 0 29 Sep 2024
Revisiting inverse Hessian vector products for calculating influence functions Yegor Klochkov Yang Liu TDI LLMSV 27 1 0 25 Sep 2024
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu MU 19 0 0 25 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 83 3 0 17 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 50 3 0 15 Sep 2024
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models Aakash Sen Sharma Niladri Sarkar Vikram S Chundawat Ankur Mali Murari Mandal DiffM MU 36 4 0 09 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 40 3 0 30 Aug 2024
Community-Centric Graph Unlearning Yi Li Shichao Zhang Guixian Zhang Debo Cheng MU 24 0 0 19 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 61 1 0 17 Aug 2024
Verification of Machine Unlearning is Fragile Binchi Zhang Zihan Chen Cong Shen Wenlin Yao AAML 73 5 0 01 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 64 7 0 01 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification Shantanu Ghosh Rayan Syed Chenyu Wang Clare B. Poynton Kayhan Batmanghelich 39 0 0 31 Jul 2024
Machine Unlearning in Generative AI: A Survey Zheyuan Liu Guangyao Dou Zhaoxuan Tan Yijun Tian Meng Jiang MU 31 14 0 30 Jul 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks Yushun Dong Binchi Zhang Zhenyu Lei Na Zou Jundong Li MU 77 5 0 28 Jul 2024
Machine Unlearning using a Multi-GAN based Model Amartya Hatua Trung T. Nguyen Andrew H. Sung GAN SyDa MU 30 0 0 26 Jul 2024
Revisiting Machine Unlearning with Dimensional Alignment Seonguk Seo Dongwan Kim Bohyung Han MU 37 0 0 25 Jul 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 75 3 0 25 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 37 8 0 15 Jul 2024
Mitigating Backdoor Attacks using Activation-Guided Model Editing Felix Hsieh H. Nguyen AprilPyone Maungmaung Dmitrii Usynin Isao Echizen AAML KELM LLMSV 39 0 0 10 Jul 2024
MUSE: Machine Unlearning Six-Way Evaluation for Language Models Weijia Shi Jaechan Lee Yangsibo Huang Sadhika Malladi Jieyu Zhao Ari Holtzman Daogao Liu Luke Zettlemoyer Noah A. Smith Chiyuan Zhang MU ELM 45 45 0 08 Jul 2024
Evaluating Copyright Takedown Methods for Language Models Boyi Wei Weijia Shi Yangsibo Huang Noah A. Smith Chiyuan Zhang Luke Zettlemoyer Kai Li Peter Henderson 49 19 0 26 Jun 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 57 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 61 7 0 24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 43 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 41 2 0 20 Jun 2024
Soft Prompting for Unlearning in Large Language Models Karuna Bhaila Minh-Hao Van Xintao Wu MU KELM 30 3 0 17 Jun 2024
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Wei Zhao MU 35 1 0 16 Jun 2024
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou MU AAML 47 2 0 16 Jun 2024
Don't Forget Too Much: Towards Machine Unlearning on Feature Level Heng Xu Tianqing Zhu Wanlei Zhou Wei Zhao MU 36 4 0 16 Jun 2024
A More Practical Approach to Machine Unlearning David Zagardo MU 40 0 0 13 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 32 2 0 11 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 49 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 32 6 0 10 Jun 2024
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing Yihan Wang Yiwei Lu Guojun Zhang Franziska Boenisch Adam Dziedzic Yaoliang Yu Xiao-Shan Gao MU 21 1 0 05 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 49 2 0 04 Jun 2024
What makes unlearning hard and what to do about it Kairan Zhao M. Kurmanji George-Octavian Barbulescu Eleni Triantafillou Peter Triantafillou MU 60 17 0 03 Jun 2024
"Forgetting" in Machine Learning and Beyond: A Survey Alyssa Shuang Sha Bernardo Pereira Nunes Armin Haller MU KELM 38 1 0 31 May 2024
Cross-Modal Safety Alignment: Is textual unlearning all you need? Trishna Chakraborty Erfan Shayegani Zikui Cai Nael B. Abu-Ghazaleh M. Salman Asif Yue Dong A. Roy-Chowdhury Chengyu Song 41 16 0 27 May 2024
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten Wei Qian Aobo Chen Chenxu Zhao Yangyi Li Mengdi Huai MU 34 0 0 27 May 2024
Towards Natural Machine Unlearning Zhengbao He Tao Li Xinwen Cheng Zhehao Huang Xiaolin Huang MU 28 3 0 24 May 2024