Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models

17 September 2024

Mingyuan Zhou

Papers citing "Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models"

21 / 71 papers shown

Title
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 67 293 0 04 Mar 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 275 414 0 10 Feb 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions Huangjie Zheng Mingyuan Zhou OT 86 29 0 28 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 279 6,293 0 26 Nov 2020
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 66 138 0 10 Jul 2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 50 264 0 06 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 386 17,550 0 19 Jun 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 292 367 0 24 Mar 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 41 256 0 24 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 259 10,591 0 17 Feb 2020
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 110 830 0 09 Dec 2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 58 483 0 12 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 82 434 0 08 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 193 3,803 0 12 Jul 2019
Making AI Forget You: Data Deletion in Machine Learning Antonio A. Ginart M. Guan Gregory Valiant James Zou MU 64 467 0 11 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 89 844 0 15 Apr 2019
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 69 126 0 28 May 2018
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 175 6,069 0 01 Jul 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 437 8,999 0 10 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 219 6,780 0 12 Mar 2015