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SSSE: Efficiently Erasing Samples from Trained Machine Learning Models

SSSE: Efficiently Erasing Samples from Trained Machine Learning Models

8 July 2021
Alexandra Peste
Dan Alistarh
Christoph H. Lampert
    MU
ArXivPDFHTML

Papers citing "SSSE: Efficiently Erasing Samples from Trained Machine Learning Models"

6 / 6 papers shown
Title
Generative Unlearning for Any Identity
Generative Unlearning for Any Identity
Juwon Seo
Sung-Hoon Lee
Tae-Young Lee
Seungjun Moon
Gyeong-Moon Park
45
5
0
16 May 2024
Corrective Machine Unlearning
Corrective Machine Unlearning
Shashwat Goel
Ameya Prabhu
Philip H. S. Torr
Ponnurangam Kumaraguru
Amartya Sanyal
OnRL
40
14
0
21 Feb 2024
Machine unlearning through fine-grained model parameters perturbation
Machine unlearning through fine-grained model parameters perturbation
Zhiwei Zuo
Zhuo Tang
KenLi Li
Anwitaman Datta
AAML
MU
26
0
0
09 Jan 2024
Task-Aware Machine Unlearning and Its Application in Load Forecasting
Task-Aware Machine Unlearning and Its Application in Load Forecasting
Wangkun Xu
Fei Teng
MU
AI4TS
30
3
0
28 Aug 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in
  Intelligent Healthcare
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare
Juexiao Zhou
Haoyang Li
Xingyu Liao
Bin Zhang
Wenjia He
Zhongxiao Li
Longxi Zhou
Xin Gao
MU
30
13
0
20 Feb 2023
Towards Adversarial Evaluations for Inexact Machine Unlearning
Towards Adversarial Evaluations for Inexact Machine Unlearning
Shashwat Goel
Ameya Prabhu
Amartya Sanyal
Ser-Nam Lim
Philip H. S. Torr
Ponnurangam Kumaraguru
AAML
ELM
MU
29
47
0
17 Jan 2022
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