Feb. 26, 2024, 5:11 a.m. | Cathie So, KD Conway, Xiaohang Yu, Suning Yao, Kartin Wong

cs.CR updates on arXiv.org arxiv.org

arXiv:2402.15006v1 Announce Type: new
Abstract: The convergence of Artificial Intelligence (AI) and blockchain technology is reshaping the digital world, offering decentralized, secure, and efficient AI services on blockchain platforms. Despite the promise, the high computational demands of AI on blockchain raise significant privacy and efficiency concerns. The Optimistic Privacy-Preserving AI (opp/ai) framework is introduced as a pioneering solution to these issues, striking a balance between privacy protection and computational efficiency. The framework integrates Zero-Knowledge Machine Learning (zkML) for privacy with …

ai services artificial artificial intelligence arxiv blockchain computational convergence cs.cr cs.lg decentralized demands digital digital world efficiency framework high intelligence platforms privacy services technology world

Information Security Engineers

@ D. E. Shaw Research | New York City

Technology Security Analyst

@ Halton Region | Oakville, Ontario, Canada

Senior Cyber Security Analyst

@ Valley Water | San Jose, CA

Technical Support Specialist (Cyber Security)

@ Sigma Software | Warsaw, Poland

OT Security Specialist

@ Adani Group | AHMEDABAD, GUJARAT, India

FS-EGRC-Manager-Cloud Security

@ EY | Bengaluru, KA, IN, 560048