EraseDiff: Erasing Data Influence in Diffusion Models

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EraseDiff: Erasing Data Influence in Diffusion Models

Computer Vision and Pattern Recognition (CVPR), 2024

11 January 2024

Trung Le

Mehrtash Harandi

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Papers citing "EraseDiff: Erasing Data Influence in Diffusion Models"

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Title
Towards Irreversible Machine Unlearning for Diffusion Models Xun Yuan Zilong Zhao Jiayu Li A. Pasikhani P. Gope Biplab Sikdar 112 0 0 03 Dec 2025
Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check Sungjun Cho Dasol Hwang Frederic Sala Sangheum Hwang Kyunghyun Cho Sungmin Cha DiffM MU 150 0 0 14 Oct 2025
Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models Agnieszka Polowczyk Alicja Polowczyk Joanna Waczyñska Piotr Borycki Przemysław Spurek 152 0 0 26 Sep 2025
SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders Enrico Cassano Riccardo Renzulli Marco Nurisso Mirko Zaffaroni Alan Perotti Marco Grangetto 186 0 0 23 Sep 2025
One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework Feiran Li Qianqian Xu Shilong Bao Zhiyong Yang Xiaochun Cao Qingming Huang DiffM 500 4 0 16 May 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024 Reza Shirkavand Qi He Shangqian Gao Gowthami Somepalli Tom Goldstein Heng-Chiao Huang 417 8 0 13 Mar 2025
Data Unlearning in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025 Silas Alberti Kenan Hasanaliyev Manav Shah Stefano Ermon DiffM MU 171 8 0 02 Mar 2025
Rethinking the Vulnerability of Concept Erasure and a New Method Alex D. Richardson Alex D. Richardson Lucas Beerens Dongdong Chen DiffM 637 3 0 24 Feb 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Bartosz Cywiński Kamil Deja DiffM 459 28 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 Jiahua Dong Jiahua Dong Hanbin Zhao Chao Zhang Hui Qian DiffM 345 4 0 26 Jan 2025
Dynamic Negative Guidance of Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024 Felix Koulischer Johannes Deleu G. Raya T. Demeester Luca Ambrogioni DiffM 479 18 0 18 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia Wilson 332 9 0 10 Oct 2024
SteerDiff: Steering towards Safe Text-to-Image Diffusion Models Hongxiang Zhang Yifeng He Hao Chen 284 7 0 03 Oct 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2024 V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 326 37 0 06 Aug 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 443 108 0 24 May 2024
Espresso: Robust Concept Filtering in Text-to-Image Models Anudeep Das Vasisht Duddu Rui Zhang Nadarajah Asokan EGVM 422 11 0 30 Apr 2024