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Examines anonymous communications using Tor to protect privacy and navigate internet censorship, discussing its history, functionality, and limitations.
Explores bug-finding, verification, and the use of learning-aided approaches in program reasoning, showcasing examples like the Heartbleed bug and differential Bayesian reasoning.
Explores the security and verifiability of digital voting systems, including in-person and remote e-voting, focusing on protection against tampering and ballot counting efficiency.
Covers the principles and strategies of privacy engineering, emphasizing the importance of embedding privacy into IT systems and the challenges faced in achieving privacy by design.
