Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Explores distributed randomness using Drand, covering cryptographic tools, key exchange, elliptic curve cryptography, and practical applications in blockchain systems.
Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
Explores semantic security in stream ciphers, emphasizing pseudorandom number generators and computational limitations in cryptography.
Delves into causality in an indeterministic world, challenging traditional views and exploring the implications of quantum physics on randomness and reality.
Explores the challenges of generating random numbers and secret key generation in secure communication.
