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SOUL: Unlocking the Power of Second-Order Optimization for LLM
  Unlearning

SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

28 April 2024
Jinghan Jia
Yihua Zhang
Yimeng Zhang
Jiancheng Liu
Bharat Runwal
James Diffenderfer
B. Kailkhura
Sijia Liu
    MU
ArXivPDFHTML

Papers citing "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"

33 / 33 papers shown
Title
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
Hanyu Duan
Yi Yang
Ahmed Abbasi
Kar Yan Tam
MU
OnRL
22
0
0
16 May 2025
Layered Unlearning for Adversarial Relearning
Layered Unlearning for Adversarial Relearning
Timothy Qian
Vinith M. Suriyakumar
Ashia C. Wilson
Dylan Hadfield-Menell
MU
26
0
0
14 May 2025
Sharpness-Aware Parameter Selection for Machine Unlearning
Sharpness-Aware Parameter Selection for Machine Unlearning
Saber Malekmohammadi
Hong kyu Lee
Li Xiong
MU
157
0
0
08 Apr 2025
Understanding Machine Unlearning Through the Lens of Mode Connectivity
Understanding Machine Unlearning Through the Lens of Mode Connectivity
Jiali Cheng
Hadi Amiri
MU
138
0
0
08 Apr 2025
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
Tianyang Xu
Xiaoze Liu
Feijie Wu
Xiaoqian Wang
Jing Gao
MU
56
0
0
29 Mar 2025
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning
Yiwei Chen
Yuguang Yao
Yihua Zhang
Bingquan Shen
Gaowen Liu
Sijia Liu
AAML
MU
58
1
0
14 Mar 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
Gaurav Patel
Qiang Qiu
MU
62
1
0
08 Mar 2025
Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models
Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models
Huazheng Wang
Yongcheng Jing
Haifeng Sun
Yingjie Wang
J. Wang
Jianxin Liao
Dacheng Tao
KELM
MU
47
0
0
27 Feb 2025
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI
  Policy, Research, and Practice
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice
A. Feder Cooper
Christopher A. Choquette-Choo
Miranda Bogen
Matthew Jagielski
Katja Filippova
...
Abigail Z. Jacobs
Andreas Terzis
Hanna M. Wallach
Nicolas Papernot
Katherine Lee
AILaw
MU
93
10
0
09 Dec 2024
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Yingzi Ma
Jiongxiao Wang
Fei-Yue Wang
Siyuan Ma
Jiazhao Li
...
B. Li
Yejin Choi
M. Chen
Chaowei Xiao
Chaowei Xiao
MU
58
6
0
05 Nov 2024
RESTOR: Knowledge Recovery through Machine Unlearning
RESTOR: Knowledge Recovery through Machine Unlearning
Keivan Rezaei
Khyathi Raghavi Chandu
S. Feizi
Yejin Choi
Faeze Brahman
Abhilasha Ravichander
KELM
CLL
MU
58
0
0
31 Oct 2024
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
Tianyu Yang
Lisen Dai
Zheyuan Liu
Xiangqi Wang
Meng-Long Jiang
Yapeng Tian
Xiangliang Zhang
VLM
MU
29
4
0
30 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
Jinghan Jia
Jiancheng Liu
Yihua Zhang
Parikshit Ram
Nathalie Baracaldo
Sijia Liu
MU
35
2
0
23 Oct 2024
Catastrophic Failure of LLM Unlearning via Quantization
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang
Fali Wang
Xiaomin Li
Zongyu Wu
Xianfeng Tang
Hui Liu
Qi He
Wenpeng Yin
Suhang Wang
MU
34
5
0
21 Oct 2024
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned
  Concepts
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
Hongcheng Gao
Tianyu Pang
Chao Du
Taihang Hu
Zhijie Deng
Min-Bin Lin
DiffM
40
8
0
16 Oct 2024
LLM Unlearning via Loss Adjustment with Only Forget Data
LLM Unlearning via Loss Adjustment with Only Forget Data
Yaxuan Wang
Jiaheng Wei
Chris Liu
Jinlong Pang
Q. Liu
A. Shah
Yujia Bao
Yang Liu
Wei Wei
KELM
MU
37
7
0
14 Oct 2024
A Closer Look at Machine Unlearning for Large Language Models
A Closer Look at Machine Unlearning for Large Language Models
Xiaojian Yuan
Tianyu Pang
Chao Du
Kejiang Chen
Weiming Zhang
Min-Bin Lin
MU
41
5
0
10 Oct 2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Chongyu Fan
Jiancheng Liu
Licong Lin
Jinghan Jia
Ruiqi Zhang
Song Mei
Sijia Liu
MU
43
16
0
09 Oct 2024
Alternate Preference Optimization for Unlearning Factual Knowledge in
  Large Language Models
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Anmol Mekala
Vineeth Dorna
Shreya Dubey
Abhishek Lalwani
David Koleczek
Mukund Rungta
Sadid Hasan
Elita Lobo
KELM
MU
38
2
0
20 Sep 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts
Tianle Gu
Kexin Huang
Ruilin Luo
Yuanqi Yao
Yujiu Yang
Yan Teng
Yingchun Wang
MU
42
4
0
18 Sep 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
Jiali Cheng
Hadi Amiri
BDL
43
3
0
21 Jun 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning
  Framework from Logit Difference
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
Jiabao Ji
Yujian Liu
Yang Zhang
Gaowen Liu
Ramana Rao Kompella
Sijia Liu
Shiyu Chang
KELM
MU
29
22
0
12 Jun 2024
Defensive Unlearning with Adversarial Training for Robust Concept
  Erasure in Diffusion Models
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang
Xin Chen
Jinghan Jia
Yihua Zhang
Chongyu Fan
Jiancheng Liu
Mingyi Hong
Ke Ding
Sijia Liu
DiffM
38
52
0
24 May 2024
Negative Preference Optimization: From Catastrophic Collapse to
  Effective Unlearning
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
Ruiqi Zhang
Licong Lin
Yu Bai
Song Mei
MU
60
128
0
08 Apr 2024
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning
  Evaluation in Diffusion Models
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
Yihua Zhang
Chongyu Fan
Yimeng Zhang
Yuguang Yao
Jinghan Jia
...
Gaoyuan Zhang
Gaowen Liu
Ramana Rao Kompella
Xiaoming Liu
Sijia Liu
DiffM
37
4
0
19 Feb 2024
Rethinking Machine Unlearning for Large Language Models
Rethinking Machine Unlearning for Large Language Models
Sijia Liu
Yuanshun Yao
Jinghan Jia
Stephen Casper
Nathalie Baracaldo
...
Hang Li
Kush R. Varshney
Mohit Bansal
Sanmi Koyejo
Yang Liu
AILaw
MU
72
83
0
13 Feb 2024
Machine Unlearning for Image-to-Image Generative Models
Machine Unlearning for Image-to-Image Generative Models
Guihong Li
Hsiang Hsu
Chun-Fu Chen
R. Marculescu
MU
VLM
70
25
0
01 Feb 2024
Unlearning Traces the Influential Training Data of Language Models
Unlearning Traces the Influential Training Data of Language Models
Masaru Isonuma
Ivan Titov
MU
29
6
0
26 Jan 2024
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still
  Easy To Generate Unsafe Images ... For Now
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Yimeng Zhang
Jinghan Jia
Xin Chen
Aochuan Chen
Yihua Zhang
Jiancheng Liu
Ke Ding
Sijia Liu
DiffM
22
82
0
18 Oct 2023
Who's Harry Potter? Approximate Unlearning in LLMs
Who's Harry Potter? Approximate Unlearning in LLMs
Ronen Eldan
M. Russinovich
MU
MoMe
101
175
0
03 Oct 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
298
2,232
0
22 Mar 2023
Boundary Unlearning
Boundary Unlearning
Min Chen
Weizhuo Gao
Gaoyang Liu
Kai Peng
Chen Wang
MU
106
71
0
21 Mar 2023
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Joel Jang
Dongkeun Yoon
Sohee Yang
Sungmin Cha
Moontae Lee
Lajanugen Logeswaran
Minjoon Seo
KELM
PILM
MU
147
191
0
04 Oct 2022
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