Grant Year: 2017

January 14, 2020

Secure Machine Learning

We will study how to harden machine learning classifiers against adversarial attack. We will explore general mechanisms for making deep-learning classifiers more robust against attack, with a special focus on security for autonomous vehicles. Current schemes fail badly in the presence of an attacker who is trying to fool or…

January 14, 2020

Strengthening Cybersecurity in Human Rights Investigations

International courts and human rights organizations are increasingly using publicly-available information (YouTube videos, Facebook photos, Tweets, etc.) to support investigations of human rights violations and war crimes. Researchers from UC Berkeley’s Human Rights Center will identify and share best cybersecurity practices for open-source investigations and digital verification of video and…

January 14, 2020

Toward One-Step, Three-Factor Authentication Using Custom-Fit Ear EEG

A team of researchers will conduct the first experimental research into one-step, three-factor authentication, by using custom-fitted earpieces that measure EEG (electroencephalogram) brainwave signals. Through this method, a user can perform a single mental task to present three authenticators at once: a knowledge factor (their chosen secret thought and/or mental…

January 14, 2020

When to Avoid Digital Control: A Cybersecurity Case Study for Advanced Nuclear Reactors

This team proposes to identify and study the major issues associated with design of the interface between digital control for normal operation of nuclear reactors, where digital control may be unreliable or even create control feedback that is deliberately unsafe (e.g. cyberattacks), and passively safe reactor designs, where disconnecting digital…

January 14, 2020

Zero Knowledge Proofs for Privacy-Preserving Cryptocurrencies

Cryptocurrencies have the potential to change the way we conduct payments across the globe. However, current systems are “risky” because they do not provide privacy to users; this lack of privacy not only affects individual users but also skews the economic properties of the currency. Zero knowledge proofs have been…

January 14, 2020

Actuarial Justice in the 21st Century

Court actors increasingly rely on statistical predictions about an accused person’s future behaviors to inform judgments, as part of an administrative style called “actuarial justice.” Increasingly, actuarial instruments now inform every decision point, such that actuarial justice and the logic of data science has become an organizing principle for the…

January 14, 2020

I Regret to Inform You that Your Private Information Has Been Compromised

This research team will expand the information available and accessible to the public on privacy, data protection and cybersecurity. Specifically, the team will collaborate with the Wiki-Ed Foundation and the UC American Cultures Librarian to establish a “Wikipedia Student Working Group on Privacy Literacy” at UC Berkeley and hold regular…

January 14, 2020

Preparing for Blockchain: Policy Implications and Challenges for the Financial Industry

Blockchain?a distributed ledger technology that maintains a continuously-growing list of records?is an emerging technology that has captured the imagination and investment of Silicon Valley and Wall Street. The technology originally propelled the emergence of virtual currencies such as Bitcoin, and now holds promise to revolutionize a variety of industries including,…

January 14, 2020

Tools and Methods for Inferring Demographic Bias in Social Media datasets

Social media posts from smartphones are an increasingly useful data source for researchers and policymakers. For example, place-based posts can help city planners assess how infrastructure or public space is being used, and help identify the needs of different communities. But it is important to know who is represented in…