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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.
Explores challenges in deep learning and machine learning applications, covering surveillance, privacy, manipulation, fairness, interpretability, energy efficiency, cost, and generalization.
