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Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Explores semantic security in stream ciphers, emphasizing pseudorandom number generators and computational limitations in cryptography.
Explores the challenges of generating random numbers and secret key generation in secure communication.
Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
Covers the concept of tokens, how they work, and the implementation of two-factor authentication.
Explores the commitment scheme, key derivation function, and pseudorandom generator in cryptographic protocols, emphasizing their role in ensuring data integrity and authentication.
