Algorithms that Approximate Data Removal: New Results and Limitations

25 September 2022

Papers citing "Algorithms that Approximate Data Removal: New Results and Limitations"

8 / 8 papers shown

Title
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith M. Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia C. Wilson 44 2 0 10 Oct 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 40 2 0 15 Sep 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 39 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
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 17 0 0 09 Jan 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 25 7 0 18 Nov 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 10 32 0 27 Jan 2023
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 112 118 0 07 Oct 2021