Machine Unlearning

Notes on SSSE: Efficiently Erasing Samples From Trained Machine Learning Models

Disclaimer: This is part of my notes on AI research papers. I do this to learn and communicate what I understand. Feel free to comment if you have any suggestion, that would be very much appreciated. The following post is a comment on the paper SSSE: Efficiently Erasing Samples From Trained Machine Learning Models by Alexandra Peste, Dan Alistarh, and Christoph H. Lampert. Peste et. al. propose Single-Step Sample Erasure (SSSE), a method to efficiently and effectively erase samples from trained machine learning models....

Notes on Mixed-Privacy Forgetting in Deep Networks

Disclaimer: This is part of my notes on AI research papers. I do this to learn and communicate what I understand. Feel free to comment if you have any suggestion, that would be very much appreciated. The following post is a comment on the paper Mixed-Privacy Forgetting in Deep Networks by Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, and Stefano Soatto. Golatkar et. al. introduce a novel method for forgetting in a mixed-privacy setting, where a core subset of the training samples will not be forgotten....

Notes on Multi Class Explainable Unlearning for Image Classification via Weight Filtering

Disclaimer: This is part of my notes on AI research papers. I do this to learn and communicate what I understand. Feel free to comment if you have any suggestion, that would be very much appreciated. The following post is a comment on the paper Multi Class Explainable Unlearning for Image Classification via Weight Filtering by Samuele Poppi, Sara Sarto, Marcella Cornia, Lorenzo Baraldi and Rita Cucchiara. Samuele P., et. al....