Explore advanced cryptography techniques beyond communication security in this keynote address. Delve into zero knowledge, secure multi-party computation, and homomorphic encryption. Understand the necessity, efficiency, and current usability challenges of advanced cryptography. Examine privacy concerns, performance examples, and practical applications in AI and data analysis. Learn about implementation complexities, available tools, and libraries. Discuss the future of cryptography, including standardization efforts, privacy-accountability balance, and potential incentives for wider adoption.
Overview
Syllabus
Introduction
Privacy
Zero Knowledge
Speed
Performance Examples
Zero Knowledge Example
CCS Hero
ZK Stark
Secure Computation
Logistic Regression
Gaussian Elimination
Secure Computation Examples
Homomorphic Encryption
Simple AI Models
Logistic Regression Models
Complexity
Implementations
Code Quality
Communication
Orphic Encryption
Libraries
Compilers
Tools
Starting Points
Incentives
Conclusion
Questions
Trust
Standardization
ZeroKnowledge
Privacy and Accountability
Taught by
Association for Computing Machinery (ACM)
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