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Explores challenges in deep learning and machine learning applications, covering surveillance, privacy, manipulation, fairness, interpretability, energy efficiency, cost, and generalization.
Discusses the ongoing challenge of embedded security in healthcare, emphasizing the need for solutions to protect against malicious behavior and secure critical assets and services.
Examines anonymous communications using Tor to protect privacy and navigate internet censorship, discussing its history, functionality, and limitations.
