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Explore the theoretical foundations of witness encryption and its connections to computational learning theory in this 25-minute conference talk that examines the NP-hardness of learning problems. Delve into advanced cryptographic concepts where encryption schemes can be constructed based on the existence of witnesses for NP statements, and discover how these mechanisms relate to the computational complexity of machine learning algorithms. Investigate the mathematical frameworks that demonstrate why certain learning tasks remain computationally intractable even with powerful cryptographic tools, bridging the gap between cryptography and computational learning theory through rigorous theoretical analysis and proof techniques.
Syllabus
Witness Encryption and NP-hardness of Learning
Taught by
Fields Institute