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Adversarial Unlearning: Reducing Confidence Along Adversarial Directions

Adversarial Unlearning: Reducing Confidence Along Adversarial Directions

Neural Information Processing Systems (NeurIPS), 2022
3 June 2022
Amrith Rajagopal Setlur
Benjamin Eysenbach
Virginia Smith
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "Adversarial Unlearning: Reducing Confidence Along Adversarial Directions"

13 / 13 papers shown
Title
Stable Forgetting: Bounded Parameter-Efficient Unlearning in LLMs
Stable Forgetting: Bounded Parameter-Efficient Unlearning in LLMs
Arpit Garg
Hemanth Saratchandran
Ravi Garg
Simon Lucey
MUCLL
65
1
0
29 Sep 2025
Understanding Machine Unlearning Through the Lens of Mode Connectivity
Understanding Machine Unlearning Through the Lens of Mode Connectivity
Jiali Cheng
Hadi Amiri
MU
872
3
0
08 Apr 2025
AMUN: Adversarial Machine UNlearning
AMUN: Adversarial Machine UNlearning
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
MUAAML
255
2
0
02 Mar 2025
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
Jiali Cheng
Hadi Amiri
BDL
243
10
0
21 Jun 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance
  of Unlearned Models with Out-Of-Distribution Images
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
Jacopo Bonato
Marco Cotogni
Luigi Sabetta
MUCLL
257
17
0
19 Apr 2024
DUCK: Distance-based Unlearning via Centroid Kinematics
DUCK: Distance-based Unlearning via Centroid Kinematics
Marco Cotogni
Jacopo Bonato
Luigi Sabetta
Francesco Pelosin
Alessandro Nicolosi
MU
352
15
0
04 Dec 2023
MultiDelete for Multimodal Machine Unlearning
MultiDelete for Multimodal Machine Unlearning
Jiali Cheng
Hadi Amiri
MU
316
12
0
18 Nov 2023
Is Certifying $\ell_p$ Robustness Still Worthwhile?
Is Certifying ℓp\ell_pℓp​ Robustness Still Worthwhile?
Ravi Mangal
Klas Leino
Zifan Wang
Kai Hu
Weicheng Yu
Corina S. Pasareanu
Anupam Datta
Matt Fredrikson
AAMLOOD
207
1
0
13 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
409
1
0
06 Oct 2023
Conservative Prediction via Data-Driven Confidence Minimization
Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi
Fahim Tajwar
Yoonho Lee
Huaxiu Yao
Ananya Kumar
Chelsea Finn
109
7
0
08 Jun 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and TaxonomyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
416
48
0
10 May 2023
Ignorance is Bliss: Robust Control via Information Gating
Ignorance is Bliss: Robust Control via Information GatingNeural Information Processing Systems (NeurIPS), 2023
Manan Tomar
Riashat Islam
Matthew E. Taylor
Sergey Levine
Philip Bachman
165
13
0
10 Mar 2023
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large
  Language Models
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Albert Xu
Xiang Ren
Robin Jia
OODD
134
2
0
28 Nov 2022
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