Live Online Classes in Design, Coding & AI — Small Classes, Free Retakes
2,000+ Free Courses with Certificates: Coding, AI, SQL, and More
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn about cutting-edge cryptographic techniques in this 46-minute conference talk that explores the construction of indistinguishability obfuscation using bilinear maps and Learning Parity with Noise (LPN) variants. Discover how these mathematical foundations can be leveraged to create secure obfuscation schemes, examining the theoretical underpinnings and practical implications of combining bilinear map cryptography with LPN-based assumptions. Gain insights into the latest developments in cryptographic obfuscation theory, understanding how these techniques contribute to privacy-preserving computation and secure program execution while exploring the mathematical relationships between different cryptographic primitives.
Syllabus
Indistinguishability Obfuscation from Bilinear Maps and LPN Variants
Taught by
Simons Institute