Luca Mariot
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This paper develops a new threshold secret sharing scheme for cellular automata (CA) that enables anonymous reconstruction of the secret CA rules, improving upon previous characterizations using Mutually Orthogonal Latin Squares (MOLS).
The paper investigates the ability of evolutionary computation to discover monotone Boolean functions with high nonlinearity, demonstrating that genetic programming is a highly effective encoding for this task, especially in higher dimensions.
Papers
Monotone but Exciting: On Evolving Monotone Boolean Functions with High Nonlinearity
Claude Carlet, Marko Čupić, Marko Ðurasevic, Domagoj Jakobovic +2 more
The paper investigates the ability of evolutionary computation to discover monotone Boolean functions with high nonlinearity, demonstrating that genetic programming is a highly effective encoding for…