Abstract: Despite expanding regulations, surveillance tech and Face ID deployments continue to grow geometrically. Countries such as the US, China, and the UK are leading the way, while the rest of the world is not far behind. Biometric data and algorithms are at the epicenter of a perfect storm, as rapid technological advances meet rising privacy concerns. At the one end, identification technology like face recognition can provide consumers both convenience and secure authentication. At the other end, biometric databases and infrastructure have become attractive targets for hackers. In a new twist, open source AI tools are now available that can help malicious actors manipulate face and voice data to create deep fakes. These fakes can be weaponized by rogue nation states for disinformation campaigns - to destabilize financial markets or manipulate elections.
Our panel will take a data-centric perspective on these topics. We will review the state of the art in face recognition technology and discuss where biometrics is headed. We will look at novel ways to secure biometric data, such as homomorphic encryption and leveraging the blockchain. And we will explore the role that deep learning is playing in both improving identification accuracy as well in fake news and cybersecurity.
Bio: George is Director of Computing and Data Science at GSI Technology, an embedded hardware and artificial intelligence company. He's held senior leadership roles in software, data science, and research, including tenures at Apple's New Product Architecture group and at New York University's Courant Institute. He can talk on a broad range of topics at the intersection of e-commerce, machine learning, software development, and cloud security. He is an author on several research papers in computer vision and deep learning, published at NIPS, CVPR, ICASSP, and SIGGRAPH.