Erasing Concepts from Diffusion Models

13 March 2023

Papers citing "Erasing Concepts from Diffusion Models"

28 / 228 papers shown

Title
AltDiffusion: A Multilingual Text-to-Image Diffusion Model Fulong Ye Guangyi Liu Xinya Wu Ledell Yu Wu VLM 42 25 0 19 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 27 4 0 18 Aug 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning Florian Bordes Shashank Shekhar Mark Ibrahim Diane Bouchacourt Pascal Vincent Ari S. Morcos 36 26 0 08 Aug 2023
Circumventing Concept Erasure Methods For Text-to-Image Generative Models Minh Pham Kelly O. Marshall Niv Cohen Govind Mittal C. Hegde DiffM 25 40 0 03 Aug 2023
Training Data Protection with Compositional Diffusion Models Aditya Golatkar Alessandro Achille A. Swaminathan Stefano Soatto DiffM 29 11 0 02 Aug 2023
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI Avijit Ghosh D. Lakshmi 30 3 0 02 Aug 2023
Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion Zixuan Ni Longhui Wei Jiacheng Li Siliang Tang Yueting Zhuang Qi Tian DiffM 31 21 0 02 Aug 2023
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance Saeid Naderiparizi Xiaoxuan Liang Berend Zwartsenberg Frank D. Wood DiffM 34 4 0 31 Jul 2023
Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models Sanghyun Kim Seohyeong Jung Balhae Kim Moonseok Choi Jinwoo Shin Juho Lee DiffM 29 29 0 12 Jul 2023
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback Taeho Yoon Kibeom Myoung Keon Lee Jaewoong Cho Albert No Ernest K. Ryu 20 7 0 06 Jul 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Yakir Oz Yaniv Nikankin Michal Irani 34 10 0 04 Jul 2023
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 29 3 0 22 Jun 2023
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation Zhengyue Zhao Jinhao Duan Xingui Hu Kaidi Xu Chenan Wang Rui Zhang Zidong Du Qi Guo Yunji Chen DiffM WIGM 28 27 0 02 Jun 2023
Probabilistic Adaptation of Text-to-Video Models Mengjiao Yang Yilun Du Bo Dai Dale Schuurmans J. Tenenbaum Pieter Abbeel VGen DiffM 43 24 0 02 Jun 2023
Inserting Anybody in Diffusion Models via Celeb Basis Genlan Yuan Xiaodong Cun Yong Zhang Maomao Li Chenyang Qi Xintao Wang Ying Shan Huicheng Zheng DiffM 17 51 0 01 Jun 2023
Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness? Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting EGVM 18 13 0 28 May 2023
Parts of Speech-Grounded Subspaces in Vision-Language Models James Oldfield Christos Tzelepis Yannis Panagakis M. Nicolaou Ioannis Patras 24 9 0 23 May 2023
Editing Large Language Models: Problems, Methods, and Opportunities Yunzhi Yao Peng Wang Bo Tian Shuyang Cheng Zhoubo Li Shumin Deng Huajun Chen Ningyu Zhang KELM 30 278 0 22 May 2023
Data Redaction from Conditional Generative Models Zhifeng Kong Kamalika Chaudhuri KELM 16 7 0 18 May 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models Alvin Heng Harold Soh VLM KELM DiffM 40 107 0 17 May 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 30 106 0 11 Apr 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models Eric Zhang Kai Wang Xingqian Xu Zhangyang Wang Humphrey Shi DiffM 46 175 0 30 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models Nupur Kumari Bin Zhang Sheng-Yu Wang Eli Shechtman Richard Y. Zhang Jun-Yan Zhu VLM 21 184 0 23 Mar 2023
Feature Unlearning for Pre-trained GANs and VAEs Saemi Moon Seunghyuk Cho Dongwoo Kim SSL GAN MU 28 13 0 10 Mar 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 32 232 0 07 Feb 2023
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 129 183 0 03 Oct 2022
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 230 343 0 21 Oct 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 259 374 0 28 Feb 2021