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Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

6 July 2020
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
    MU
ArXivPDFHTML

Papers citing "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning"

25 / 75 papers shown
Title
Federated Unlearning: How to Efficiently Erase a Client in FL?
Federated Unlearning: How to Efficiently Erase a Client in FL?
Anisa Halimi
S. Kadhe
Ambrish Rawat
Nathalie Baracaldo
MU
27
122
0
12 Jul 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
80
102
0
30 Jun 2022
Data Redaction from Pre-trained GANs
Data Redaction from Pre-trained GANs
Zhifeng Kong
Kamalika Chaudhuri
68
16
0
29 Jun 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous
  Driving Networks
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
Dario Rossi
Liang Zhang
36
13
0
26 Apr 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
29
81
0
15 Apr 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
32
18
0
27 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks
Understanding Rare Spurious Correlations in Neural Networks
Yao-Yuan Yang
Chi-Ning Chou
Kamalika Chaudhuri
AAML
34
25
0
10 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine
  (Un)Learning
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning
Ji Gao
Sanjam Garg
Mohammad Mahmoody
Prashant Nalini Vasudevan
MIACV
AAML
19
22
0
07 Feb 2022
Backdoor Defense with Machine Unlearning
Backdoor Defense with Machine Unlearning
Yang Liu
Mingyuan Fan
Cen Chen
Ximeng Liu
Zhuo Ma
Li Wang
Jianfeng Ma
AAML
35
74
0
24 Jan 2022
Recommendation Unlearning
Recommendation Unlearning
C. L. Philip Chen
Fei Sun
Hao Fei
Bolin Ding
MU
36
85
0
18 Jan 2022
Fast Yet Effective Machine Unlearning
Fast Yet Effective Machine Unlearning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
MU
35
174
0
17 Nov 2021
Lightweight machine unlearning in neural network
Lightweight machine unlearning in neural network
Kongyang Chen
Yiwen Wang
Yao Huang
MU
30
7
0
10 Nov 2021
Minimax Optimization: The Case of Convex-Submodular
Minimax Optimization: The Case of Convex-Submodular
Arman Adibi
Aryan Mokhtari
Hamed Hassani
21
7
0
01 Nov 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Shawn Shan
A. Bhagoji
Haitao Zheng
Ben Y. Zhao
AAML
99
50
0
13 Oct 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
28
70
0
17 Sep 2021
Certifiable Machine Unlearning for Linear Models
Certifiable Machine Unlearning for Linear Models
Ananth Mahadevan
M. Mathioudakis
MU
14
45
0
29 Jun 2021
Adaptive Machine Unlearning
Adaptive Machine Unlearning
Varun Gupta
Christopher Jung
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
Chris Waites
MU
25
175
0
08 Jun 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
AI4CE
34
86
0
14 Apr 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning
Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari
Jayadev Acharya
Gautam Kamath
A. Suresh
FedML
MU
44
288
0
04 Mar 2021
Machine Unlearning via Algorithmic Stability
Machine Unlearning via Algorithmic Stability
Enayat Ullah
Tung Mai
Anup B. Rao
Ryan Rossi
R. Arora
35
103
0
25 Feb 2021
Coded Machine Unlearning
Coded Machine Unlearning
Nasser Aldaghri
Hessam Mahdavifar
Ahmad Beirami
MIACV
27
38
0
31 Dec 2020
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
162
0
24 Dec 2020
When Machine Unlearning Jeopardizes Privacy
When Machine Unlearning Jeopardizes Privacy
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MIACV
38
219
0
05 May 2020
Learn to Forget: Machine Unlearning via Neuron Masking
Learn to Forget: Machine Unlearning via Neuron Masking
Yang Liu
Zhuo Ma
Ximeng Liu
Jian-wei Liu
Zhongyuan Jiang
Jianfeng Ma
Philip Yu
K. Ren
MU
27
61
0
24 Mar 2020
Towards Probabilistic Verification of Machine Unlearning
Towards Probabilistic Verification of Machine Unlearning
David M. Sommer
Liwei Song
Sameer Wagh
Prateek Mittal
AAML
13
71
0
09 Mar 2020
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