Privacy-Preserving Analytics and Quantum Computing
7. October 2020 @ 15:00 - 17:00| Free
Speaker: Andreas Trügler, Leader DDAI COMET Module
Privacy and data security are one of the main pillars of our economic and social system and are at the heart of the technical advantage of many companies in a competitive global environment. The foundation on which secure systems are build is cryptography and one of the greatest breakthroughs in modern cryptography is the ability to perform calculations on encrypted data.
This means although the true content of your data is never revealed and stays fully private you can still benefit from machine learning evaluations or remote calculations on a server. Data can be exchanged with customers or industry partners in a secure and privacy-preserving manner so that the actual content of your personal phone data or the actual details about your production methods remain private and fully secure.
In this session you will get an overview about cutting edge cryptographic methods and an introduction to the current state of the art of homomorphic encryption, multi-party computation and so called zero-knowledge proofs. Homomorphic encryption, one of the methods that allows computation on encrypted data, is also regarded as a quantum secure or post-quantum algorithm, since in contrast to conventional cryptographic methods there exists no quantum algorithm that can break its security.
In the second part of this session you will also learn about this fascinating new era of quantum computation, where the strange and astounding effects of quantum mechanics are used to solve problems with exponential speedup compared to classical computers. This means by entering the quantum world it is possible to create new machine learning algorithms that learn almost instantaneously or to solve optimization problems in seconds where a classical supercomputer would take ages. You will get an introduction and reality check on quantum computers and we will discuss how they work, where the current problems are and why they may change the world of data analytics completely.