Evaluating Machine Unlearning via Epistemic Uncertainty

23 August 2022

Papers citing "Evaluating Machine Unlearning via Epistemic Uncertainty"

5 / 5 papers shown

Title
WaterDrum: Watermarking for Data-centric Unlearning Metric Xinyang Lu Xinyuan Niu Gregory Kang Ruey Lau Bui Thi Cam Nhung Rachael Hwee Ling Sim Fanyu Wen Chuan-Sheng Foo S. Ng Bryan Kian Hsiang Low MU 57 0 0 08 May 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
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
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 125 159 0 24 Dec 2020