2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal
Jiaeli Shi, Najah Ghalyan, Kostis Gourgoulias +2
Machine learning models trained on sensitive or private data can inadvertently memorize and leak that information. Machine unlearning seeks to retroactively remove such details fro…
cs.CL2023★ 1 cited
Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches
Zefang Liu, John Buford
Anomaly detection in command shell sessions is a critical aspect of computer security. Recent advances in deep learning and natural language processing, particularly transformer-ba…