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cs.LG2023
Non-Generative Energy Based Models
Jacob Piland, Christopher Sweet, Priscila Saboia +2
Energy-based models (EBM) have become increasingly popular within computer vision. EBMs bring a probabilistic approach to training deep neural networks (DNN) and have been shown to…
cs.LG2019★ 1 cited
On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks
Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang
Recreating cyber-attack alert data with a high level of fidelity is challenging due to the intricate interaction between features, non-homogeneity of alerts, and potential for rare…