Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.10635
Cited By
Formalizing Data Deletion in the Context of the Right to be Forgotten
IACR Cryptology ePrint Archive (IACR ePrint), 2020
25 February 2020
Sanjam Garg
S. Goldwasser
Prashant Nalini Vasudevan
AILaw
MU
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Formalizing Data Deletion in the Context of the Right to be Forgotten"
48 / 48 papers shown
Improving Unlearning with Model Updates Probably Aligned with Gradients
Virgile Dine
Teddy Furon
Charly Faure
MU
245
0
0
04 Nov 2025
Memorizing Long-tail Data Can Help Generalization Through Composition
Mo Zhou
Haoyang Ma
Rong Ge
TDI
416
0
0
18 Oct 2025
Distillation Robustifies Unlearning
Bruce W. Lee
Addie Foote
Alex Infanger
Leni Shor
Harish Kamath
Jacob Goldman-Wetzler
Bryce Woodworth
Alex Cloud
Alexander Matt Turner
MU
493
6
0
06 Jun 2025
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
Computer Vision and Pattern Recognition (CVPR), 2025
Zhengyi Zhong
Weidong Bao
Ji Wang
Shuai Zhang
Jingxuan Zhou
Lingjuan Lyu
Wei Yang Bryan Lim
FedML
MU
536
16
0
28 Feb 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Weiqi Wang
Chenhan Zhang
Zhiyi Tian
Shushu Liu
Shui Yu
MU
332
3
0
27 Feb 2025
Toward Efficient Data-Free Unlearning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Chenhao Zhang
Shaofei Shen
Weitong Chen
Miao Xu
MU
400
3
0
18 Dec 2024
Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
Hanlin Gu
Hong Xi Tae
Chee Seng Chan
Lixin Fan
MU
FedML
341
3
0
14 Oct 2024
Data Deletion for Linear Regression with Noisy SGD
Zhangjie Xia
Chi-Hua Wang
Guang Cheng
348
2
0
12 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker
Shengyuan Hu
Neil Kale
Yash Maurya
Zhiwei Steven Wu
Virginia Smith
MU
388
46
0
03 Oct 2024
Towards Aligned Data Removal via Twin Machine Unlearning
Zheng Lin
Zheng Lin
Yuyao Sun
Rong Jin
Yuhang Wang
Haichang Gao
Zhenxing Niu
MU
255
0
0
21 Aug 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
Martín Bertrán
Shuai Tang
Michael Kearns
Jamie Morgenstern
Aaron Roth
Zhiwei Steven Wu
AAML
249
24
0
30 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Neural Information Processing Systems (NeurIPS), 2024
Hanlin Gu
W. Ong
Chee Seng Chan
Lixin Fan
MU
410
18
0
23 May 2024
Machine Unlearning: A Comprehensive Survey
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
AILaw
311
39
0
13 May 2024
Online Algorithms with Limited Data Retention
Nicole Immorlica
Brendan Lucier
Markus Mobius
James Siderius
322
1
0
17 Apr 2024
Machine Unlearning of Pre-trained Large Language Models
Jin Yao
Eli Chien
Minxin Du
Xinyao Niu
Tianhao Wang
Zezhou Cheng
Xiang Yue
MU
435
100
0
23 Feb 2024
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang
Yunzhi Yao
Bo Tian
Peng Wang
Shumin Deng
...
Lei Liang
Qing Cui
Xiao-Jun Zhu
Jun Zhou
Huajun Chen
KELM
589
136
0
02 Jan 2024
Knowledge Sanitization of Large Language Models
Yoichi Ishibashi
Hidetoshi Shimodaira
KELM
298
39
0
21 Sep 2023
Tight Bounds for Machine Unlearning via Differential Privacy
Journal of Privacy and Confidentiality (JPC), 2023
Yiyang Huang
C. Canonne
MU
291
20
0
02 Sep 2023
Machine Unlearning: Solutions and Challenges
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
MU
470
114
0
14 Aug 2023
Ticketed Learning-Unlearning Schemes
Annual Conference Computational Learning Theory (COLT), 2023
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Ayush Sekhari
Chiyuan Zhang
MU
237
11
0
27 Jun 2023
Machine Unlearning: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Heng Xu
Tianqing Zhu
Lefeng Zhang
Wanlei Zhou
Philip S. Yu
MU
282
45
0
06 Jun 2023
Information Flow Control in Machine Learning through Modular Model Architecture
USENIX Security Symposium (USENIX Security), 2023
Trishita Tiwari
Suchin Gururangan
Chuan Guo
Weizhe Hua
Sanjay Kariyappa
Udit Gupta
Wenjie Xiong
Kiwan Maeng
Hsien-Hsin S. Lee
G. E. Suh
256
9
0
05 Jun 2023
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
321
57
0
25 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
543
59
0
10 May 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
International Conference on Machine Learning (ICML), 2023
Satyapriya Krishna
Jiaqi Ma
Himabindu Lakkaraju
310
14
0
08 Feb 2023
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer
Doreen Riepel
Varun Chandrasekaran
Esha Ghosh
O. Ohrimenko
Nicolas Papernot
AAML
MU
459
40
0
17 Oct 2022
Control, Confidentiality, and the Right to be Forgotten
Conference on Computer and Communications Security (CCS), 2022
A. Cohen
Adam D. Smith
Marika Swanberg
Prashant Nalini Vasudevan
AILaw
MU
264
16
0
14 Oct 2022
Algorithms that Approximate Data Removal: New Results and Limitations
Neural Information Processing Systems (NeurIPS), 2022
Vinith Suriyakumar
Ashia Wilson
MU
228
46
0
25 Sep 2022
Can the Government Compel Decryption? Don't Trust -- Verify
Symposium on Computer Science and Law (CSL), 2022
A. Cohen
Sarah Scheffler
Mayank Varia
FedML
215
3
0
04 Aug 2022
Cryptography with Certified Deletion
IACR Cryptology ePrint Archive (IACR ePrint), 2022
James Bartusek
Dakshita Khurana
356
34
0
05 Jul 2022
Debugging using Orthogonal Gradient Descent
Narsimha Chilkuri
C. Eliasmith
215
1
0
17 Jun 2022
Knowledge Removal in Sampling-based Bayesian Inference
International Conference on Learning Representations (ICLR), 2022
Shaopeng Fu
Fengxiang He
Dacheng Tao
BDL
MU
244
35
0
24 Mar 2022
Quantum Proofs of Deletion for Learning with Errors
IACR Cryptology ePrint Archive (IACR ePrint), 2022
Alexander Poremba
263
27
0
03 Mar 2022
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2022
Q. Nguyen
Ryutaro Oikawa
D. Divakaran
M. Chan
K. H. Low
MU
191
45
0
28 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Ji Gao
Sanjam Garg
Mohammad Mahmoody
Prashant Nalini Vasudevan
MIACV
AAML
230
28
0
07 Feb 2022
Deletion-Compliance in the Absence of Privacy
Conference on Privacy, Security and Trust (PST), 2021
Jonathan Godin
Philippe Lamontagne
AILaw
195
4
0
10 Jan 2022
Burn After Reading: Online Adaptation for Cross-domain Streaming Data
Luyu Yang
M. Gao
Zeyuan Chen
Ran Xu
Abhinav Shrivastava
Chetan Ramaiah
148
4
0
08 Dec 2021
Fast Yet Effective Machine Unlearning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
MU
611
275
0
17 Nov 2021
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models
Alexandra Peste
Dan Alistarh
Christoph H. Lampert
MU
146
37
0
08 Jul 2021
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
290
92
0
04 Jul 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Yingzhe He
Guozhu Meng
Kai Chen
Jinwen He
Xingbo Hu
MU
91
32
0
13 May 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning
Neural Information Processing Systems (NeurIPS), 2021
Ayush Sekhari
Jayadev Acharya
Gautam Kamath
A. Suresh
FedML
MU
418
420
0
04 Mar 2021
Bayesian Inference Forgetting
Shaopeng Fu
Fengxiang He
Yue Xu
Dacheng Tao
MU
331
12
0
16 Jan 2021
Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems
Technology and Regulation (TR), 2021
Asia J. Biega
Michèle Finck
215
32
0
15 Jan 2021
Mixed-Privacy Forgetting in Deep Networks
Computer Vision and Pattern Recognition (CVPR), 2020
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLL
MU
390
212
0
24 Dec 2020
Machine Unlearning for Random Forests
International Conference on Machine Learning (ICML), 2020
Jonathan Brophy
Daniel Lowd
MU
380
215
0
11 Sep 2020
Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms
Network and Distributed System Security Symposium (NDSS), 2020
Mohsen Minaei
S Chandra Mouli
Mainack Mondal
Bruno Ribeiro
Aniket Kate
172
11
0
28 May 2020
Towards Probabilistic Verification of Machine Unlearning
David M. Sommer
Liwei Song
Sameer Wagh
Prateek Mittal
AAML
498
81
0
09 Mar 2020
1
Page 1 of 1
