Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning

12 May 2024

Papers citing "Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning"

9 / 9 papers shown

Title
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models Zhi-Yi Chin Kuan-Chen Mu Mario Fritz Pin-Yu Chen DiffM 81 0 0 25 Nov 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith M. Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia C. Wilson 44 2 0 10 Oct 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 27 14 0 06 Aug 2024
Unlearning Concepts from Text-to-Video Diffusion Models Shiqi Liu Yihua Tan DiffM 21 0 0 19 Jul 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 3 0 21 Jun 2024
Separable Multi-Concept Erasure from Diffusion Models Mengnan Zhao Lihe Zhang Tianhang Zheng Yuqiu Kong Baocai Yin 28 9 0 03 Feb 2024
Calibrating Factual Knowledge in Pretrained Language Models Qingxiu Dong Damai Dai Yifan Song Jingjing Xu Zhifang Sui Lei Li KELM 213 81 0 07 Oct 2022
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 139 110 0 04 Oct 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015