Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive analysis of the Learning Parity with Noise (LPN) problem in this 23-minute conference talk presented at Crypto 2017. Delve into the research findings of Andre Esser, Robert Kübler, and Alexander May as they decode the complexities of LPN and its implications for cryptography. Gain insights into their novel approaches and potential breakthroughs in solving this fundamental problem in cryptographic theory.