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Selective Amnesia: A Continual Learning Approach to Forgetting in Deep
  Generative Models

Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models

17 May 2023
Alvin Heng
Harold Soh
    VLM
    KELM
    DiffM
ArXivPDFHTML

Papers citing "Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models"

27 / 77 papers shown
Title
Espresso: Robust Concept Filtering in Text-to-Image Models
Espresso: Robust Concept Filtering in Text-to-Image Models
Anudeep Das
Vasisht Duddu
Rui Zhang
Nadarajah Asokan
EGVM
26
5
0
30 Apr 2024
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion
  Models
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
Vitali Petsiuk
Kate Saenko
VGen
27
4
0
21 Apr 2024
Enhancing Generative Class Incremental Learning Performance with Model
  Forgetting Approach
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
Taro Togo
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
23
1
0
27 Mar 2024
Editing Massive Concepts in Text-to-Image Diffusion Models
Editing Massive Concepts in Text-to-Image Diffusion Models
Tianwei Xiong
Yue Wu
Enze Xie
Yue Wu
Zhenguo Li
Xihui Liu
83
9
0
20 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine
  Unlearning
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
Chongyu Fan
Jiancheng Liu
Alfred Hero
Sijia Liu
MU
22
10
0
12 Mar 2024
MACE: Mass Concept Erasure in Diffusion Models
MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu
Zilan Wang
Leyang Li
Yanzhu Liu
A. Kong
DiffM
31
75
0
10 Mar 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
32
4
0
19 Feb 2024
Discriminative Adversarial Unlearning
Discriminative Adversarial Unlearning
Rohan Sharma
Shijie Zhou
Kaiyi Ji
Changyou Chen
MU
22
1
0
10 Feb 2024
EraseDiff: Erasing Data Influence in Diffusion Models
EraseDiff: Erasing Data Influence in Diffusion Models
Jing Wu
Trung Le
Munawar Hayat
Mehrtash Harandi
DiffM
64
14
0
11 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in
  Networks
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
Jing Wu
Mehrtash Harandi
23
12
0
11 Jan 2024
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and
  Erasing Applications
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
Mengyao Lyu
Yuhong Yang
Haiwen Hong
Hui Chen
Xuan Jin
Yuan He
Hui Xue
Jungong Han
Guiguang Ding
DiffM
13
54
0
26 Dec 2023
IMMA: Immunizing text-to-image Models against Malicious Adaptation
IMMA: Immunizing text-to-image Models against Malicious Adaptation
Yijia Zheng
Raymond A. Yeh
22
8
0
30 Nov 2023
Self-Discovering Interpretable Diffusion Latent Directions for
  Responsible Text-to-Image Generation
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
Hang Li
Chengzhi Shen
Philip H. S. Torr
Volker Tresp
Jindong Gu
24
30
0
28 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance
  Navigation
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation
Ali Abbasi
Chayne Thrash
Elaheh Akbari
Daniel Zhang
Soheil Kolouri
MU
16
3
0
21 Nov 2023
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
Rohit Gandikota
Joanna Materzyñska
Tingrui Zhou
Antonio Torralba
David Bau
DiffM
35
61
0
20 Nov 2023
Trustworthy Large Models in Vision: A Survey
Trustworthy Large Models in Vision: A Survey
Ziyan Guo
Li Xu
Jun Liu
MU
56
0
0
16 Nov 2023
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency
  in Both Image Classification and Generation
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Chongyu Fan
Jiancheng Liu
Yihua Zhang
Eric Wong
Dennis Wei
Sijia Liu
MU
11
120
0
19 Oct 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
17
79
0
18 Oct 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending
  Against Extraction Attacks
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
Vaidehi Patil
Peter Hase
Mohit Bansal
KELM
AAML
18
93
0
29 Sep 2023
Distilling Adversarial Prompts from Safety Benchmarks: Report for the
  Adversarial Nibbler Challenge
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge
Manuel Brack
P. Schramowski
Kristian Kersting
AAML
EGVM
16
7
0
20 Sep 2023
Security and Privacy on Generative Data in AIGC: A Survey
Security and Privacy on Generative Data in AIGC: A Survey
Tao Wang
Yushu Zhang
Shuren Qi
Ruoyu Zhao
Zhihua Xia
Jian Weng
43
41
0
18 Sep 2023
Unified Concept Editing in Diffusion Models
Unified Concept Editing in Diffusion Models
Rohit Gandikota
Hadas Orgad
Yonatan Belinkov
Joanna Materzyñska
David Bau
DiffM
36
160
0
25 Aug 2023
Circumventing Concept Erasure Methods For Text-to-Image Generative
  Models
Circumventing Concept Erasure Methods For Text-to-Image Generative Models
Minh Pham
Kelly O. Marshall
Niv Cohen
Govind Mittal
C. Hegde
DiffM
14
37
0
03 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
29
45
0
16 Jul 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Xudong Shen
H. Brown
Jiashu Tao
Martin Strobel
Yao Tong
Akshay Narayan
Harold Soh
Finale Doshi-Velez
11
3
0
22 Jun 2023
Data Redaction from Conditional Generative Models
Data Redaction from Conditional Generative Models
Zhifeng Kong
Kamalika Chaudhuri
KELM
16
7
0
18 May 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang
Kai Wang
Xingqian Xu
Zhangyang Wang
Humphrey Shi
DiffM
42
169
0
30 Mar 2023
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