DeapSECURE Lesson 5: Cryptography for Privacy-Preserving Computation

This lesson module introduces the homomorphic encryption technique, which is powerful to address concerns around data privacy, when private data has to be shared with other parties for computation purposes.

Here are our objectives for this module:

Understanding encryption and the issues related to it
Understanding what homomorphic encryption is and what can be done with it
Practical familiarity with Paillier encryption as one class of homomorphic encryption
Practical experience with speeding up homomorphic encryption with parallel computation using MPI (Message Passing Interface).

Prerequisites

Basic operation of UNIX shell

Basic Python programming skill

Basic operation of SLURM job scheduler

Website: https://deapsecure.gitlab.io/deapsecure-lesson05-crypt

Schedule

	Setup	Download files required for the lesson
00:00	1. HPC for Advanced Cryptography	What are the main issues with security and trust in computing?
00:00	2. A Brief Introduction to Python	What is Python? How do I use Python to perform computation with numbers and text? How do I handle a large amount of data using Python? How do I write a tool in Python?
00:40	3. Data Encoding and Encryption Using Python Libraries	How do we encode data on a digital computer? How do we encrypt information using AES? How do we serialize and deserialize data structures using JSON?
01:20	4. Breaking Modified AES-256 Encryption	Hands-on 1: Cracking Modified AES-256 Encryption
01:20	5. Homomorphic Encryption --- A Primer	What is homomorphic encryption (HE)? What can be encrypted and processed using HE?
01:20	6. Paillier Cryptosystem for Homomorphic Encryption	What is Paillier encryption scheme? What can be encrypted and calculated using Paillier HE? How to save encrypted numbers?
01:20	7. Privacy-Preserving Computation with Homomorphic Encryption	Hands-on 2: How to use homomorphic encryption for privacy preserving computation?
01:20	8. Parallel Computation with Homomorphic Encryption	Hands-on 3: How to use parallel computing to speed up HE computations?
01:20	9. Supplementary Info: Homomorphic Encryption Implementations	What are some implementations of homomorphic encryption?
01:20	10. Outro: Applications of Homomorphic Encryption	What are the important applications of homomorphic encryption?
01:20	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.