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The Cybersecurity of “Smart” Infrastructure Systems

Alison Post, Associate Professor, Department of Political Science and Global Metropolitan Studies, UC Berkeley
Karen Frick, Associate Professor, College for Environmental Design, UC Berkeley
Marti Hearst, Professor, School of Information, UC Berkeley
Kenichi Soga, Chancellor's Professor, Civil and Environmental Engineering, UC Berkeley
Tim Marple, PhD Student, Department of Political Science, UC Berkeley
Urban infrastructure such as water and sanitation systems, subways, power grids, and flood defense systems are crucial for social and economic life yet are vulnerable to natural hazards that could disrupt services, such as earthquakes or floods. New sensor systems can potentially provide early warnings of problems, and thus help...

Coordinated Entry System Research and Development for Alameda County’s Continuum of Care

Zoe Kahn, PhD Student, School of Information, UC Berkeley
Mahmoud Hamsho, Researcher, Center for Long-Term Cybersecurity, UC Berkeley
Amy Turner, Graduate Student Researcher, School of Information, UC Berkeley
Yuval Barash, Graduate Student Researcher, School of Information, UC Berkeley
Michelle Chen, Graduate Student Researcher, School of Information, UC Berkeley
Governments are increasingly using technology to allocate scarce social service resources, like housing services. In collaboration with Alameda County’s Continuum of Care, this project will use qualitative research methods (i.e. interviews, participatory design, and usability testing) to conduct a needs assessment and system recommendation around “matching” unhoused people to appropriate...

Secure Machine Learning

David Wagner, Professor, Department of Electrical Engineering and Computer Science, UC Berkeley
We propose to study the security of deep learning and how to harden machine learning against attacks. Our goal is to provide a more robust foundation for applications that use machine learning in settings where security is necessary. The use of machine learning to support automated decision-making is on the...

Privacy for Always-Listening Devices

David Wagner, Professor, Department of Electrical Engineering and Computer Science, UC Berkeley
Serge Egelman, Research Director, International Computer Science Institute, UC Berkeley
Microphone-equipped Internet of Things devices, and smart voice assistants specifically, offer the promise of great convenience, yet pose grave privacy challenges. The aim of our research is to understand the privacy implications of voice as a sensitive data source and develop techniques to help users protect their privacy from these...

Re-imagining Password Management for Low-Technology Proficiency Users

Ching-Yi Lin, Graduate Student Researcher, School of Information, UC Berkeley
Ayo Animashaun, Graduate Student Researcher, School of Information, UC Berkeley
Jing Wu, Graduate Student Researcher, School of Information, UC Berkeley
Amy Huang, Graduate Student Researcher, School of Information, UC Berkeley
Passwords and login information control access to some of the most important aspects of life, such as banking and finances, medical services, and other sensitive personal information. According to Pew Research, 44% of online adults ages 30 to 64 say they have a hard time keeping track of their passwords....

Hackers vs. Testers: Understanding Software Vulnerability Discovery Processes

Primal Wijesekera, Postdoctoral Researcher, International Computer Science Institute, UC Berkeley
Serge Egelman, Research Director, International Computer Science Institute, UC Berkeley
Noura Alomar, Researcher, International Computer Science Institute, UC Berkeley
Security vulnerabilities pose a grave danger to the integrity of any system because they can undermine almost any protection mechanism or safeguard. As such, finding vulnerabilities before the software gets deployed is a critical task in any current software development cycle. A vital tool has recently emerged in the arsenal...

Towards Efficient Data Economics: Decentralized Data Marketplace and Smart Pricing Models

Dawn Song, Professor, Department of Electrical Engineering and Computer Science, UC Berkeley
Ruoxi Jia, Postdoctoral Researcher, Department of Electrical Engineering and Computer Science, UC Berkeley
Advances in machine learning and artificial intelligence have demonstrated enormous potential for building intelligent systems and growing knowledge bases. However, the current data marketplaces are not efficient enough to facilitate long-term technological and economic advancements. An efficient data market would allow participants to strategically sell or purchase data and get...

Factors Affecting Trust Among Vulnerable Populations

Rajasi Desai, Graduate Student Researcher, School of Information, UC Berkeley
Varshine Chandrakanthan, Graduate Student Researcher, School of Information, UC Berkeley
This project aims to understand the trust dynamics and the factors affecting trust for vulnerable populations like human rights defenders, activists, and journalists who document and upload sensitive media, as well as people who receive this media in order to use it as evidence. The researchers will work to understand...

Privacy-preserving and Decentralized Federated Learning

Dawn Song, Professor, Department of Electrical Engineering and Computer Science, UC Berkeley
Min Du, Postdoctoral Fellow, Department of Electrical Engineering and Computer Science, UC Berkeley
Jian Liu, Postdoctoral Fellow, Department of Electrical Engineering and Computer Science, UC Berkeley
Machine learning technology is developing rapidly and has been continuously changing our daily life. However, a major limiting factor that hinders many machine learning tasks is the need of huge and diverse training data. Crowdsourcing has been shown effective to collect data labels with a centralized server. The emergence of...

Engaging Expert Stakeholders about the Future of Menstrual Biosensing Technology

Noura Howell, PhD Candidate, School of Information, UC Berkeley
Richmond Wong, PhD Candidate, School of Information, UC Berkeley
Sarah Fox, Postdoctoral Scholar, Department of Communication and The Design Lab, UC San Diego
Franchesca Spektor, Undergraduate Student Researcher, UC Berkeley
Networked sensor technologies are increasingly present in daily life. While promising improved health and efficiency, they also introduce far-reaching issues around cybersecurity, privacy, autonomy, and consent that can be difficult to predict or resist. This project will examine menstrual tracking technologies as a case for understanding the current and near-future...
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