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cs.LG2025
Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
Christoforos N. Spartalis, Theodoros Semertzidis, Petros Daras +1
We introduce SAFEMax, a novel method for Machine Unlearning in diffusion models. Grounded in information-theoretic principles, SAFEMax maximizes the entropy in generated images, ca…
cs.LG2018
Examining Deep Learning Architectures for Crime Classification and Prediction
Panagiotis Stalidis, Theodoros Semertzidis, Petros Daras
In this paper, a detailed study on crime classification and prediction using deep learning architectures is presented. We examine the effectiveness of deep learning algorithms on t…