LUIZ PIZZATO:"How to build Machine Learning Algorithms using Homomorphic Encryption"
DANIELLA ABURTO: "Towards an inclusive AI"
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LUIZ PIZZATO:"How to build Machine Learning Algorithms using Homomorphic Encryption"
The talk: Homomorphic Encryption (HE) allows calculation to be performed in data while still encrypted. It enables a number of business solutions that would not have been possible otherwise. In particular, HE allows companies to engage in data collaborations while knowing that their sensitive data is secure.
In this talk, Luiz will describe how to build machine learning algorithms with the constraints imposed by homomorphic encryption as well as he will demonstrate PyHEAL, a soon to be open sourced library developed by Accenture Liquid Studio that makes developing such algorithms easier.
The author: Luiz is an expert data scientist with nearly 20 years of experience in ML and AI. He has a PhD and a MSc in Computer Science both with focus on Natural Language Processing. Luiz is one of the leading experts in Recommender Systems.
During his career Luiz has built commercial AI systems for matching people in online dating platforms as well as for finding best candidates for job positions. For his PhD, Luiz created NLP techniques for question answering systems which are now prevalent in virtual assistant devices such as Alexa and Siri. Luiz also worked on complex NLP problems for some of the large financial institutions in the world and worked on AI solutions to improve the banking experience for businesses in Australia.
At Accenture, Luiz leads the Liquid Studio Sydney team, a highly specialised group of engineers focusing on Data Science and Robotics. Our work involves cutting edge and emerging technologies in AI including eXplainable AI, Homomorphically Encrypted ML and robotics.
