MUSE: A comprehensive AI framework for evaluating machine unlearning in language models by Technical Terrence Team 07/20/2024 0 Language models (LMs) face significant challenges related to privacy and copyright because they are trained on large amounts of text ...
Innovative Approaches in Machine Unlearning: Insights and Advances from the First NeurIPS Unlearning Competition on Efficient Data Erasure by Technical Terrence Team 06/16/2024 0 Machine unlearning is a cutting-edge area in artificial intelligence that focuses on efficiently erasing the influence of specific training data ...
This AI paper from UT Austin and JPMorgan Chase presents a novel algorithm for machine unlearning in generative image-to-image models by Technical Terrence Team 02/06/2024 0 In an era where digital privacy has become paramount, the ability of artificial intelligence (ai) systems to forget specific data ...
CMU AI Researchers Introduce TOFU: An Innovative Machine Learning Benchmark for Data Unlearning in Large Language Models by Technical Terrence Team 01/15/2024 0 LLMs are trained with large amounts of web data, which can lead to the inadvertent memorization and reproduction of confidential ...