Adriana Porter Felt (Director of Engineering for Chrome)

Billions of people use Chrome to go about their daily lives: for school, for work, for joy, for shopping, for curiosity, and for secrets. Members of the Chrome engineering team are deeply conscious of (and constrained by) the responsibility that comes with broad product adoption. Adriana will talk about the lessons learned through a decade on the Chrome team. She’ll share surprises that she encountered when she transitioned from academia to industry, best practices that she learned as a Chrome security team member, and challenges that she has faced as a product engineering leader. What do you do when security goals conflict with other user needs? How do you balance execution speed with security? What’s hard to do even when you have Google's resources behind you? Where is academia ahead of industry, and what papers are sitting on engineers' desks?

Speaker's Biography

Adriana Porter Felt is a Director of Engineering at Google, where she leads Chrome’s Data Science, content ecosystem, and iOS teams. Previously, Adriana founded and led Chrome's usable security team. She is best known externally for her work on moving the web to HTTPS, earning her recognition as one of MIT Technology Review's Innovators Under 35. Adriana holds a PhD from UC Berkeley, and most of her academic publications are on usable security for browsers and mobile operating systems.

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Building Embedded Systems Like It’s 1996

Ruotong Yu (Stevens Institute of Technology, University of Utah), Francesca Del Nin (University of Padua), Yuchen Zhang (Stevens Institute of Technology), Shan Huang (Stevens Institute of Technology), Pallavi Kaliyar (Norwegian University of Science and Technology), Sarah Zakto (Cyber Independent Testing Lab), Mauro Conti (University of Padua, Delft University of Technology), Georgios Portokalidis (Stevens Institute of…

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Demo #13: Attacking LiDAR Semantic Segmentation in Autonomous Driving

Yi Zhu (State University of New York at Buffalo), Chenglin Miao (University of Georgia), Foad Hajiaghajani (State University of New York at Buffalo), Mengdi Huai (University of Virginia), Lu Su (Purdue University) and Chunming Qiao (State University of New York at Buffalo)

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DRAWN APART: A Device Identification Technique based on Remote...

Tomer Laor (Ben-Gurion Univ. of the Negev), Naif Mehanna (Univ. Lille, CNRS, Inria), Antonin Durey (Univ. Lille, CNRS, Inria), Vitaly Dyadyuk (Ben-Gurion Univ. of the Negev), Pierre Laperdrix (Univ. Lille, CNRS, Inria), Clémentine Maurice (Univ. Lille, CNRS, Inria), Yossi Oren (Ben-Gurion Univ. of the Negev), Romain Rouvoy (Univ. Lille, CNRS, Inria / IUF), Walter Rudametkin…

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MIRROR: Model Inversion for Deep Learning Network with High...

Shengwei An (Purdue University), Guanhong Tao (Purdue University), Qiuling Xu (Purdue University), Yingqi Liu (Purdue University), Guangyu Shen (Purdue University), Yuan Yao (Nanjing University), Jingwei Xu (Nanjing University), Xiangyu Zhang (Purdue University)

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