Related lectures (12)
Digital Voting Systems: Security and Verifiability
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.
Election Methods: Desirable Properties
Discusses election methods' desirable properties, multi-winner methods, district representation, gerrymandering, and the tyranny of the majority.
Electronic Voting: Processes and Approaches
Explores electronic voting processes, approaches, and technologies, emphasizing integrity, fairness, and transparency in voting systems.
Market Mechanisms: Crowdfunding, Prediction Markets, Quadratic Voting
Explores crowdfunding, prediction markets, and quadratic voting as market-based mechanisms.
E-Voting: Election Phases and Security Measures
Discusses election phases, ballot security, privacy, and transparency in e-voting.
Challenges in DL/ML Applications
Explores challenges in deep learning and machine learning applications, covering surveillance, privacy, manipulation, fairness, interpretability, energy efficiency, cost, and generalization.
E-Voting: Decentralized Systems for Democracy
Delves into e-voting systems, emphasizing decentralized democracy, election phases, and challenges in ensuring verifiability and security.
Mechanism Design and Crowdfunding
Explores mechanism design, crowdfunding, prediction markets, and quadratic voting.
Bayesian Inference: Gaussian Variables
Explores Bayesian inference for Gaussian random variables, covering joint distribution, marginal pdfs, and the Bayes classifier.
Design Principles: User Interface
Explores key design principles for user-friendly software, emphasizing consistency, feedback, aesthetics, and simplicity.

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