Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs
to be Forgotten

Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten

28 February 2022

Papers citing "Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten"

13 / 13 papers shown

Title
Buyer-Initiated Auction Mechanism for Data Redemption in Machine Unlearning Bin Han Di Feng Jie Wang Hans D. Schotten 52 0 0 29 Mar 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU 101 1 0 27 Feb 2025
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 75 8 0 25 Sep 2023
Bayesian Inference Forgetting Shaopeng Fu Fengxiang He Yue Xu Dacheng Tao MU 45 12 0 16 Jan 2021
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting Adam D. Cobb Brian Jalaian BDL 48 76 0 14 Oct 2020
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 77 434 0 08 Nov 2019
On the Accuracy of Influence Functions for Measuring Group Effects Pang Wei Koh Kai-Siang Ang H. Teo Percy Liang TDI 59 186 0 30 May 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 67 275 0 11 Feb 2019
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 142 2,854 0 14 Mar 2017
Know Your Phish: Novel Techniques for Detecting Phishing Sites and their Targets Samuel Marchal Kalle Saari Nidhi Singh Nadarajah Asokan 18 108 0 22 Oct 2015
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 88 906 0 17 Feb 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 185 14,831 1 21 Dec 2013
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 144 4,275 0 18 Nov 2011