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

17 May 2023

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

50 / 77 papers shown

Title
Safer Prompts: Reducing IP Risk in Visual Generative AI Lena Reissinger Yuanyuan Li Anna-Carolina Haensch Neeraj Sarna 23 0 0 06 May 2025
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation Vaidehi Patil Yi-Lin Sung Peter Hase Jie Peng Tianlong Chen Mohit Bansal AAML MU 79 3 0 01 May 2025
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning Siyi Chen Yimeng Zhang Sijia Liu Q. Qu AAML 64 0 0 30 Apr 2025
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Jonas Henry Grebe Tobias Braun Marcus Rohrbach Anna Rohrbach AAML 77 0 0 29 Apr 2025
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers Xuyang Zhong Haochen Luo Chen Liu MU 25 0 0 22 Apr 2025
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts Leyang Li Shilin Lu Yan Ren A. Kong DiffM 40 1 0 17 Apr 2025
ForgetMe: Evaluating Selective Forgetting in Generative Models Zhenyu Yu Mohd Yamani Inda Idris Pei Wang DiffM MU 32 0 0 17 Apr 2025
ACE: Attentional Concept Erasure in Diffusion Models Finn Carter DiffM 52 0 0 16 Apr 2025
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization Gen Li Yang Xiao Jie Ji Kaiyuan Deng Bo Hui Linke Guo Xiaolong Ma 24 0 0 12 Apr 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Christoforos N. Spartalis T. Semertzidis Efstratios Gavves P. Daras MU 74 0 0 24 Mar 2025
Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization Feifei Li Mi Zhang Yiming Sun Min Yang DiffM 51 1 0 19 Mar 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models Reza Shirkavand Peiran Yu Shangqian Gao Gowthami Somepalli Tom Goldstein Heng-Chiao Huang 107 1 0 13 Mar 2025
Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models Zhihua Tian Sirun Nan Ming Xu Shengfang Zhai Wenjie Qu Jian Liu Kui Ren Ruoxi Jia Jiaheng Zhang DiffM 82 1 0 12 Mar 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning Gaurav Patel Qiang Qiu MU 60 1 0 08 Mar 2025
Data Unlearning in Diffusion Models Silas Alberti Kenan Hasanaliyev Manav Shah Stefano Ermon DiffM MU 29 1 0 02 Mar 2025
Robust Concept Erasure Using Task Vectors Minh Pham Kelly O. Marshall Chinmay Hegde Niv Cohen 112 17 0 21 Feb 2025
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models Changhoon Kim Yanjun Qi DiffM 33 1 0 17 Feb 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Bartosz Cywiñski Kamil Deja DiffM 61 6 0 29 Jan 2025
CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary Jiahang Tu Qian Feng Chufan Chen Jiahua Dong Hanbin Zhao Chao Zhang Hui Qian 69 2 0 28 Jan 2025
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models Yong-Hyun Park Sangdoo Yun Jin-Hwa Kim Junho Kim Geonhui Jang Yonghyun Jeong Junghyo Jo Gayoung Lee 73 13 0 17 Jan 2025
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 49 2 0 03 Jan 2025
Memories of Forgotten Concepts M. Rusanovsky Shimon Malnick Amir Jevnisek Ohad Fried S. Avidan DiffM 61 0 0 01 Dec 2024
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 3 0 23 Nov 2024
Model Integrity when Unlearning with T2I Diffusion Models Andrea Schioppa Emiel Hoogeboom Jonathan Heek 43 1 0 04 Nov 2024
Black-Box Forgetting Yusuke Kuwana Yuta Goto Takashi Shibata Go Irie CLL MU VLM 26 0 0 01 Nov 2024
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts Hongcheng Gao Tianyu Pang Chao Du Taihang Hu Zhijie Deng Min-Bin Lin DiffM 38 8 0 16 Oct 2024
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation Jaehong Yoon Shoubin Yu Vaidehi Patil Huaxiu Yao Mohit Bansal 64 14 0 16 Oct 2024
RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining Yufan Liu Jinyang An Wanqian Zhang Ming Li Dayan Wu Jingzi Gu Zheng-Shen Lin Weiping Wang 22 4 0 11 Oct 2024
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing June Suk Choi Kyungmin Lee Jongheon Jeong Saining Xie Jinwoo Shin Kimin Lee DiffM AAML 25 2 0 08 Oct 2024
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning Saemi Moon M. Lee Sangdon Park Dongwoo Kim 37 1 0 08 Oct 2024
ShieldDiff: Suppressing Sexual Content Generation from Diffusion Models through Reinforcement Learning Dong Han Salaheldin Mohamed Yong Li 16 1 0 04 Oct 2024
Erasing Conceptual Knowledge from Language Models Rohit Gandikota Sheridan Feucht Samuel Marks David Bau KELM ELM MU 40 5 0 03 Oct 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node Community Anestis Kaimakamidis Ioannis Mademlis Ioannis Pitas 18 0 0 30 Sep 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang Xinwen Cheng JingHao Zheng Haoran Wang Zhengbao He Tao Li X. Huang MU 40 4 0 29 Sep 2024
UTrace: Poisoning Forensics for Private Collaborative Learning Evan Rose Hidde Lycklama Harsh Chaudhari Anwar Hithnawi Alina Oprea 30 1 0 23 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 66 3 0 17 Sep 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 14 0 06 Aug 2024
On the Limitations and Prospects of Machine Unlearning for Generative AI Shiji Zhou Lianzhe Wang Jiangnan Ye Yongliang Wu Heng Chang MU 41 5 0 01 Aug 2024
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models Chao Gong Kai-xiang Chen Zhipeng Wei Jingjing Chen Yulong Jiang DiffM 39 23 0 17 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 32 7 0 15 Jul 2024
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey Chenyu Zhang Mingwang Hu Wenhui Li Lanjun Wang 37 13 0 10 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 68 6 0 07 Jul 2024
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance Reyhane Askari Hemmat Melissa Hall Alicia Sun Candace Ross M. Drozdzal Adriana Romero Soriano 35 4 0 06 Jun 2024
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing Yihan Wang Yiwei Lu Guojun Zhang Franziska Boenisch Adam Dziedzic Yaoliang Yu Xiao-Shan Gao MU 16 1 0 05 Jun 2024
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning Ruchika Chavhan Da Li Timothy M. Hospedales 31 15 0 29 May 2024
Cross-Modal Safety Alignment: Is textual unlearning all you need? Trishna Chakraborty Erfan Shayegani Zikui Cai Nael B. Abu-Ghazaleh M. Salman Asif Yue Dong A. Roy-Chowdhury Chengyu Song 39 15 0 27 May 2024
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model Changhoon Kim Kyle Min Yezhou Yang 40 19 0 25 May 2024
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 29 51 0 24 May 2024
Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning Masane Fuchi Tomohiro Takagi DiffM VLM 43 13 0 12 May 2024
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable Haozhe Liu Wentian Zhang Bing Li Bernard Ghanem Jürgen Schmidhuber DiffM WIGM AAML 23 1 0 01 May 2024