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Gradient Surgery for One-shot Unlearning on Generative Model

Gradient Surgery for One-shot Unlearning on Generative Model

10 July 2023
Seohui Bae
Seoyoon Kim
Hyemin Jung
Woohyung Lim
    BDL
    MU
ArXivPDFHTML

Papers citing "Gradient Surgery for One-shot Unlearning on Generative Model"

7 / 7 papers shown
Title
On the Limitations and Prospects of Machine Unlearning for Generative AI
On the Limitations and Prospects of Machine Unlearning for Generative AI
Shiji Zhou
Lianzhe Wang
Jiangnan Ye
Yongliang Wu
Heng Chang
MU
41
5
0
01 Aug 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
24
6
0
10 Jun 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Hanlin Gu
W. Ong
Chee Seng Chan
Lixin Fan
MU
21
7
0
23 May 2024
Machine Unlearning for Image-to-Image Generative Models
Machine Unlearning for Image-to-Image Generative Models
Guihong Li
Hsiang Hsu
Chun-Fu Chen
R. Marculescu
MU
VLM
64
24
0
01 Feb 2024
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency
  in Both Image Classification and Generation
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Chongyu Fan
Jiancheng Liu
Yihua Zhang
Eric Wong
Dennis Wei
Sijia Liu
MU
11
120
0
19 Oct 2023
Recon: Reducing Conflicting Gradients from the Root for Multi-Task
  Learning
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning
Guangyuan Shi
Qimai Li
Wenlong Zhang
Jiaxin Chen
Xiao-Ming Wu
27
32
0
22 Feb 2023
Mixed-Privacy Forgetting in Deep Networks
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLL
MU
125
158
0
24 Dec 2020
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