3 accepted papers
With the increasing deployment of machine learning models trained on personal data, machine unlearning has become crucial for data owners to exercise their "right to be forgotten" and protect their privacy. While model owners can retrain the models without the erased data to achieve this goal, this…
Large language model (LLM) unlearning is critical in real-world applications where it is necessary to efficiently remove the influence of private, copyrighted, or harmful data from some users. Existing utility-centric unlearning metrics (based on model utility) may fail to accurately evaluate the ex…
Large Language Models (LLMs) are large-scale pretrained models that have achieved remarkable success across diverse domains. These successes have been driven by unprecedented complexity and scale in both data and computations. However, due to the high costs of training such models, brute-force trial