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cs.CR2022
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea +1
Anomaly detection is a ubiquitous and challenging task relevant across many disciplines. With the vital role communication networks play in our daily lives, the security of these n…
cs.IT2022
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication
Jinxiang Song, Christian Häger, Jochen Schröder +3
End-to-end autoencoder (AE) learning has the potential of exceeding the performance of human-engineered transceivers and encoding schemes, without a priori knowledge of communicati…