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Unlearning with Fisher Masking

Unlearning with Fisher Masking

9 October 2023
Yufang Liu
Changzhi Sun
Yuanbin Wu
Aimin Zhou
    MU
ArXiv (abs)PDFHTML

Papers citing "Unlearning with Fisher Masking"

17 / 17 papers shown
Title
Sharpness-Aware Parameter Selection for Machine Unlearning
Sharpness-Aware Parameter Selection for Machine Unlearning
Saber Malekmohammadi
Hong kyu Lee
Li Xiong
MU
508
0
0
08 Apr 2025
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Fanchao Qi
Mukai Li
Yangyi Chen
Zhengyan Zhang
Zhiyuan Liu
Yasheng Wang
Maosong Sun
SILM
80
235
0
26 May 2021
Network Pruning That Matters: A Case Study on Retraining Variants
Network Pruning That Matters: A Case Study on Retraining Variants
Duong H. Le
Binh-Son Hua
86
41
0
07 May 2021
Understanding the Role of Individual Units in a Deep Neural Network
Understanding the Role of Individual Units in a Deep Neural Network
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Àgata Lapedriza
Bolei Zhou
Antonio Torralba
GAN
75
453
0
10 Sep 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face
  Gender Biometrics
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna
Alejandro Peña
Aythami Morales
Julian Fierrez
CVBM
101
62
0
14 Apr 2020
Approximate Data Deletion from Machine Learning Models
Approximate Data Deletion from Machine Learning Models
Zachary Izzo
Mary Anne Smart
Kamalika Chaudhuri
James Zou
MU
82
265
0
24 Feb 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep
  Networks
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Stefano Soatto
CLLMU
104
505
0
12 Nov 2019
Certified Data Removal from Machine Learning Models
Certified Data Removal from Machine Learning Models
Chuan Guo
Tom Goldstein
Awni Y. Hannun
Laurens van der Maaten
MU
116
451
0
08 Nov 2019
On the Accuracy of Influence Functions for Measuring Group Effects
On the Accuracy of Influence Functions for Measuring Group Effects
Pang Wei Koh
Kai-Siang Ang
H. Teo
Percy Liang
TDI
91
196
0
30 May 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming
  Catastrophic Forgetting
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
110
435
0
31 Mar 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
215
1,463
0
02 Dec 2018
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
90
1,651
0
27 Nov 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
227
2,910
0
14 Mar 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
376
7,587
0
02 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
873
36,910
0
25 Aug 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
223
27
0
01 Jul 2016
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
499
43,717
0
17 Sep 2014
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