Concept

Secret sharing

Explores privacy-preserving techniques like secret sharing and homomorphic encryption for secure computations and data protection in machine learning.

Privacy Preserving Crypto I: Secure Multi-Party Computation

Explores Secure Multi-Party Computation, cryptographic techniques, threat models, additive secret shares, and real-world applications of privacy-preserving protocols.

Homomorphic Encryption: Applications and Implementations

Explores homomorphic encryption, its applications, challenges, and comparisons with Trusted Execution Environments, as well as the use of aggregated keys for secure data sharing.

Cryptography: Secret Key

Introduces secret key cryptography, covering 'one-time pad' encryption, flaws in key sharing, and the Data Encryption Standard (DES) principles and operation.

Secure Collaborative Systems: Building Efficient Protocols for Linear Models

Explores building efficient protocols for linear models in secure collaborative systems, emphasizing security guarantees and computational efficiency.

Distributed Randomness: Drand

Explores distributed randomness using Drand, covering cryptographic tools, key exchange, elliptic curve cryptography, and practical applications in blockchain systems.

Cryptography: Fundamentals and Applications

Introduces the fundamentals of cryptography, covering symmetric and asymmetric encryption, hash functions, key infrastructure, and data integrity.

Efficient Post-Quantum Commutative Group Action

Explores the CSIDH algorithm, a post-quantum cryptographic scheme based on isogenies, discussing its history, inner workings, and security.

Asymmetric Cryptography and Password-based Authentication

Covers asymmetric cryptography, hybrid encryption, Diffie-Hellman key exchange, authentication challenges, secure password storage, and transfer methods.

Cryptography: Tools and Techniques

Explores cryptography basics, key exchange protocols, elliptic curve cryptography, and digital signatures for secure data transmission.