Covers Markov Chain Monte Carlo for sampling high-dimensional distributions, discussing challenges, advantages, and applications like the Knapsack Problem and cryptography.
Explores conventional Cryptanalysis methods, including Differential and Linear Cryptanalysis, and delves into the significance of Hypothesis Testing in Cryptography.
Explores cryptography, perfect secrecy, group theory, and modern cryptographic milestones, emphasizing the trade-off between security and cost.
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