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Remember What You Want to Forget: Algorithms for Machine Unlearning

Remember What You Want to Forget: Algorithms for Machine Unlearning

4 March 2021
Ayush Sekhari
Jayadev Acharya
Gautam Kamath
A. Suresh
    FedML
    MU
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Papers citing "Remember What You Want to Forget: Algorithms for Machine Unlearning"

18 / 68 papers shown
Title
Synthetic Text Generation with Differential Privacy: A Simple and
  Practical Recipe
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Xiang Yue
Huseyin A. Inan
Xuechen Li
Girish Kumar
Julia McAnallen
Hoda Shajari
Huan Sun
David Levitan
Robert Sim
58
79
0
25 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning
Forget Unlearning: Towards True Data-Deletion in Machine Learning
R. Chourasia
Neil Shah
MU
21
40
0
17 Oct 2022
Verifiable and Provably Secure Machine Unlearning
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer
Doreen Riepel
Varun Chandrasekaran
Esha Ghosh
O. Ohrimenko
Nicolas Papernot
AAML
MU
41
26
0
17 Oct 2022
Algorithms that Approximate Data Removal: New Results and Limitations
Algorithms that Approximate Data Removal: New Results and Limitations
Vinith Suriyakumar
Ashia Wilson
MU
44
27
0
25 Sep 2022
Measuring Forgetting of Memorized Training Examples
Measuring Forgetting of Memorized Training Examples
Matthew Jagielski
Om Thakkar
Florian Tramèr
Daphne Ippolito
Katherine Lee
...
Eric Wallace
Shuang Song
Abhradeep Thakurta
Nicolas Papernot
Chiyuan Zhang
TDI
66
102
0
30 Jun 2022
Data Redaction from Pre-trained GANs
Data Redaction from Pre-trained GANs
Zhifeng Kong
Kamalika Chaudhuri
55
16
0
29 Jun 2022
Debugging using Orthogonal Gradient Descent
Debugging using Orthogonal Gradient Descent
Narsimha Chilkuri
C. Eliasmith
26
1
0
17 Jun 2022
Deep Unlearning via Randomized Conditionally Independent Hessians
Deep Unlearning via Randomized Conditionally Independent Hessians
Ronak R. Mehta
Sourav Pal
Vikas Singh
Sathya Ravi
MU
27
81
0
15 Apr 2022
Privacy: An axiomatic approach
Privacy: An axiomatic approach
Alexander Ziller
Tamara T. Mueller
R. Braren
Daniel Rueckert
Georgios Kaissis
9
2
0
22 Mar 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input
  Attributes from Feature Representations
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Tao Guo
Song Guo
Jiewei Zhang
Wenchao Xu
Junxiao Wang
MU
27
17
0
27 Feb 2022
Bounding Membership Inference
Bounding Membership Inference
Anvith Thudi
Ilia Shumailov
Franziska Boenisch
Nicolas Papernot
33
18
0
24 Feb 2022
Fast Yet Effective Machine Unlearning
Fast Yet Effective Machine Unlearning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
MU
31
171
0
17 Nov 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Neil G. Marchant
Benjamin I. P. Rubinstein
Scott Alfeld
MU
AAML
25
69
0
17 Sep 2021
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Satyen Kale
Ayush Sekhari
Karthik Sridharan
188
29
0
11 Jul 2021
Adaptive Machine Unlearning
Adaptive Machine Unlearning
Varun Gupta
Christopher Jung
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
Chris Waites
MU
16
174
0
08 Jun 2021
A unified PAC-Bayesian framework for machine unlearning via information
  risk minimization
A unified PAC-Bayesian framework for machine unlearning via information risk minimization
Sharu Theresa Jose
Osvaldo Simeone
MU
19
7
0
01 Jun 2021
Mixed-Privacy Forgetting in Deep Networks
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLL
MU
130
159
0
24 Dec 2020
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