105 citations · 251 across the 19 of their papers we have counts for
4 papers · 1 filter
Prompting Forgetting: Unlearning in GANs via Textual Guidance
Piyush Nagasubramaniam, Neeraj Karamchandani, Chen Wu +1
State-of-the-art generative models exhibit powerful image-generation capabilities, introducing various ethical and legal challenges to service providers hosting these models. Conse…
Federated Unlearning with Knowledge Distillation
Chen Wu, Sencun Zhu, Prasenjit Mitra
Federated Learning (FL) is designed to protect the data privacy of each client during the training process by transmitting only models instead of the original data. However, the tr…
Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder
Lun-Pin Yuan, Peng Liu, Sencun Zhu
One of the most challenging problems in the field of intrusion detection is anomaly detection for discrete event logs. While most earlier work focused on applying unsupervised lear…
Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users
Lun-Pin Yuan, Euijin Choo, Ting Yu +2
Autoencoder-based anomaly detection methods have been used in identifying anomalous users from large-scale enterprise logs with the assumption that adversarial activities do not fo…