Put AI to Work
April 15-18, 2019
New York, NY

How to build privacy and security into deep learning models

Yishay Carmiel (IntelligentWire)
4:55pm5:35pm Wednesday, April 17, 2019
Models and Methods
Location: Grand Ballroom West
Secondary topics:  Ethics, Privacy, and Security, Models and Methods
Average rating: *****
(5.00, 1 rating)

Who is this presentation for?

  • CTOs, CISOs, and product managers

Level

Intermediate

Prerequisite knowledge

  • A basic understanding of machine learning, deep learning, and neural networks
  • Familiarity with the tools needed to train machine learning models

What you'll learn

  • Understand the problems and challenges in incorporating privacy and security into neural-based models

Description

In recent years, we’ve seen tremendous improvements in artificial intelligence, due to the advances of neural-based models. However, the more popular these algorithms and techniques get, the more serious the consequences of data and user privacy. These issues will drastically impact the future of AI research—specifically how neural-based models are developed, deployed, and evaluated.

Yishay Carmiel shares techniques and explains how data privacy will impact machine learning development and how future training and inference will be affected. Yishay first dives into why training on private data should be addressed, federated learning, and differential privacy. He then discusses why inference on private data should be addressed, homomorphic encryption and neural networks, a polynomial approximation of neural networks, protecting data in neural networks, data reconstruction from neural networks, and methods and techniques to secure data reconstruction from neural networks.

Photo of Yishay Carmiel

Yishay Carmiel

IntelligentWire

Yishay Carmiel is the founder of IntelligentWire, a company that develops and implements industry-leading deep learning and AI technologies for automatic speech recognition (ASR), natural language processing (NLP), and advanced voice data extraction, and the head of Spoken Labs, the strategic artificial intelligence and machine learning research arm of Spoken Communications. Yishay and his teams are currently working on bleeding-edge innovations that make the real-time customer experience a reality—at scale. Yishay has nearly 20 years’ experience as an algorithm scientist and technology leader building large-scale machine learning algorithms and serving as a deep learning expert.

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