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Machine Unlearning in Generative AI: A Survey

Machine Unlearning in Generative AI: A Survey

30 July 2024
Zheyuan Liu
Guangyao Dou
Zhaoxuan Tan
Yijun Tian
Meng Jiang
    MU
ArXivPDFHTML

Papers citing "Machine Unlearning in Generative AI: A Survey"

33 / 33 papers shown
Title
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
Alkis Koudounas
Claudio Savelli
Flavio Giobergia
Elena Baralis
MU
56
0
0
21 May 2025
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker
Shengyuan Hu
Neil Kale
Yash Maurya
Zhiwei Steven Wu
Virginia Smith
MU
82
13
0
03 Oct 2024
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
AAML
116
186
0
02 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Ziyao Liu
Huanyi Ye
Chen Chen
Yongsen Zheng
K. Lam
AAML
MU
60
30
0
20 Mar 2024
Eight Methods to Evaluate Robust Unlearning in LLMs
Eight Methods to Evaluate Robust Unlearning in LLMs
Aengus Lynch
Phillip Guo
Aidan Ewart
Stephen Casper
Dylan Hadfield-Menell
ELM
MU
77
64
0
26 Feb 2024
TOFU: A Task of Fictitious Unlearning for LLMs
TOFU: A Task of Fictitious Unlearning for LLMs
Pratyush Maini
Zhili Feng
Avi Schwarzschild
Zachary Chase Lipton
J. Zico Kolter
MU
CLL
66
158
0
11 Jan 2024
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in
  LLMs
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
S. Kadhe
Anisa Halimi
Ambrish Rawat
Nathalie Baracaldo
MU
37
7
0
12 Dec 2023
Holistic Analysis of Hallucination in GPT-4V(ision): Bias and
  Interference Challenges
Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges
Chenhang Cui
Yiyang Zhou
Xinyu Yang
Shirley Wu
Linjun Zhang
James Zou
Huaxiu Yao
MLLM
34
87
0
06 Nov 2023
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
74
88
0
18 Oct 2023
Forgetting Private Textual Sequences in Language Models via
  Leave-One-Out Ensemble
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble
Zhe Liu
Ozlem Kalinli
MU
KELM
57
2
0
28 Sep 2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via
  Parameter-Efficient Module Operation
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Xinshuo Hu
Dongfang Li
Baotian Hu
Zihao Zheng
Zhenyu Liu
Hao Fei
KELM
MU
64
29
0
16 Aug 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng
Wei-Lin Chiang
Ying Sheng
Siyuan Zhuang
Zhanghao Wu
...
Dacheng Li
Eric Xing
Haotong Zhang
Joseph E. Gonzalez
Ion Stoica
ALM
OSLM
ELM
220
4,085
0
09 Jun 2023
Training Data Attribution for Diffusion Models
Training Data Attribution for Diffusion Models
Zheng Dai
David K Gifford
TDI
25
18
0
03 Jun 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
422
13,788
0
15 Mar 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in
  Diffusion Models
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
P. Schramowski
Manuel Brack
Bjorn Deiseroth
Kristian Kersting
83
286
0
09 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources
Unlearning Graph Classifiers with Limited Data Resources
Chao Pan
Eli Chien
O. Milenkovic
MU
45
33
0
06 Nov 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
268
326
0
11 Sep 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal
Yuval Alaluf
Yuval Atzmon
Or Patashnik
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
82
1,837
0
02 Aug 2022
Memory-Based Model Editing at Scale
Memory-Based Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
64
337
0
13 Jun 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
148
1,275
0
10 Feb 2022
Pretrained Language Models for Text Generation: A Survey
Pretrained Language Models for Text Generation: A Survey
Junyi Li
Tianyi Tang
Wayne Xin Zhao
J. Nie
Ji-Rong Wen
AI4CE
49
134
0
14 Jan 2022
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Anvith Thudi
Gabriel Deza
Varun Chandrasekaran
Nicolas Papernot
MU
49
167
0
27 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
79
361
0
02 Sep 2021
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
329
611
0
14 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
223
9,946
0
17 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
448
3,952
0
18 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
666
28,659
0
26 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
376
2,051
0
31 Dec 2020
Certified Data Removal from Machine Learning Models
Certified Data Removal from Machine Learning Models
Chuan Guo
Tom Goldstein
Awni Y. Hannun
Laurens van der Maaten
MU
72
428
0
08 Nov 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
162
3,433
0
09 Mar 2018
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Saizheng Zhang
Emily Dinan
Jack Urbanek
Arthur Szlam
Douwe Kiela
Jason Weston
80
1,442
0
22 Jan 2018
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
134
2,854
0
14 Mar 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
258
7,410
0
02 Dec 2016
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