Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
This work proposes a fast-slow parameter update strategy to implicitly approximate the up-to-date salient unlearning direction, free from specific modal constraints, and adaptable across computer vision unlearning tasks, including classification and generation.
Oct 7, 2024
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
A parallel framework for large-scale training with efficiency in memory and computation is designed for TWA or EMA and manifests better adaptation to different stages of training.
Feb 26, 2023
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
We propose a novel defense against score-based query attacks, which post-processes model outputs to effectively confound attackers without hurting accuracy and calibration.
Nov 1, 2022
An example conference paper
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Jul 1, 2013