Webinar

CLTC Virtual Lunch and Learn

Wednesday, May 27, 2020
12:00 pm to 1:00 pm PDT

A virtual lunch-and-learn session featuring a series of research lightning talks organized by the UC Berkeley Center for Long-Term Cybersecurity (CLTC).

Presenters

Dr. Daniel Aranki is a researcher in the Department of Electrical Engineering and Computer Sciences (EECS), a lecturer in the Master of Information and Cybersecurity program, and executive director of the Berkeley Telemonitoring Project. How can we utilize engineering tools to understand the developing privacy landscape in light of the advancements in machine learning, and address the threats born from such advancements? In this talk, Dr. Aranki will present an example analyzing the privacy implications of social media interactions applied to the upcoming general elections.

Jessica Cussins Newman is a research fellow at the Center for Long-Term Cybersecurity, program lead for the AI Security Initative, and an AI policy specialist at the Future of Life Institute. Cussins Newman will talk about her paper published last week, “Decision Points in AI Governance: Three Case Studies Explore Efforts to Operationalize AI Principles,” which provides an in-depth look at artificial intelligence governance practices at Microsoft, OpenAI, and the OECD.

Dr. Giulio Malavolta is a postdoctoral fellow in the EECS department at UC Berkeley and the School of Computer Science at Carnegie Mellon University. Dr. Malavolta will discuss his research on two-factor authentication mechanisms over blockchain and distributed systems as a solution for the problem of user authentication, and will explore solutions based on established cryptographic primitives. His research aims for the design of new cryptographic schemes that are efficient enough to be practically applicable and for a comprehensive understanding of their security guarantees.

Last updated:

May 12, 2020