Anonymous Communication: Motivations and Approaches

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Explores the intersection between machine learning and cryptography, focusing on safe machine learning through cryptographic tools and models.

Explores online privacy, threats to anonymity, metadata implications, and approaches to achieve privacy.

Explores homomorphic encryption, enabling secure computations on encrypted data without data exposure, with applications in healthcare and finance.

Explores privacy importance, PETS, anti-surveillance technologies, and the SwissCovid case study.

Explores online tracking methods, including canvas and AudioContext API fingerprinting, and their privacy implications.

Covers the binding of anonymous credentials to human identity through visual authentication and cryptographic protocols.

Explores censorship resistance technologies to ensure freedom of expression and access to information online.

Covers anonymous authorization, zero-knowledge proofs, attribute-based credentials, and practical issues in anonymous authentication.

Introduces a course on Privacy Enhancing Technologies covering various mechanisms and emphasizing privacy as a security property.

Explores homomorphic encryption for secure cloud computing and data aggregation.