From Idea to Impact, the Crypto Story - What's Next?

Explore a comprehensive IACR Distinguished Lecture by Shafi Goldwasser, presented at Crypto 2018, delving into the evolution of cryptography from concept to real-world impact. Examine the intersection of cryptography with machine learning, quantum computing, and digital privacy. Investigate key topics such as learning parity with noise, quantum resilience, adversarial machine learning, and leakage-resilient cryptography. Discover the challenges and opportunities in the field, including fairness, accountability, and transparency in AI systems. Learn about innovative concepts like crypto nets and federated learning, and understand how cryptography is adapting to address modern computational challenges and privacy concerns in the age of big data and advanced AI technologies.

Intro
Title
First Crypto
Simons Institute
Whats Next
Outline
Machine Learning
Learning or Training
Learning Definition
Theory of the Learner
DNF
Generation
Machine Learning and Crypto
The Problem
The Revolutionary Impact
Learning Parity with Noise
Quantum Computers
Quantum Resilience
Theory and Practice
Machine Learning Practice
Data is the New Oil
Cryptography is a Field
Challenges
Adversary Machine Learning
Pig Recognizer
Cryptography
Image Classification
Leakage Resilient
The Holy Grail
Digital Privacy Laws
Model Tracing
Fairness Accountability Transparency
General Results
Proof of Concept
Pick and Choose
Classification
Computation vs Encryption
Linear Classification
Deep Neural Networks
Crypto Nets
Federate Learning