The Center for Long-Term Cybersecurity provides funding to UC Berkeley-affiliated researchers working on a diverse range of security issues, with an emphasis on four priority areas: machine learning and artificial intelligence, building the cyber-talent pipeline, improving cybersecurity governance, and protecting vulnerable online populations. Search below to learn more about our past and current grantees.
Kimberly Fong, Head of Legal and Policy, ipvive, inc. Kurt Hepler, Cybersecurity Intelligence Analyst, Lockheed Martin Computer Incident Response Team Rohit Raghavan?, DevOps Engineer, Cisco Webex Peter Rowland, Strategist, 18F
As the proliferation of consumer Internet of Things (IoT) devices continues, so too do security problems that impact users, companies, and the Internet as a whole. But who is responsible when attacks from IoT-based threats like the Mirai Botnet cripple the Internet? This project examines the costs that insecure IoT...
Alisa Frik, Postdoctoral Researcher, International Computer Science Institute, UC Berkeley Serge Egelman, Research Director, International Computer Science Institute, UC Berkeley Florian Schaub, Assistant Professor, School of Information, University of Michigan Joyce Lee, User Experience Researcher, Atlassian
Older adults are increasingly involved in the use of emerging technologies, especially in the domain of healthcare. Examples include wearable devices for medical measurements, context-aware safety monitoring, fall sensors, and therapeutic robots. However, due to potentially limited technological literacy and high probability of physical or mental impairments, older adults are...
Jon Metzler, Lecturer|Affiliated Faculty, Haas School of Business, UC Berkeley
5G wireless service promises to enable higher bandwidth, lower latency wireless services, not just for consumers, but also for enterprise and industrial assets. If 5G wireless networks are used to support societal infrastructures such as cities, vehicles, and industrial assets, these represent new dependencies, and the costs of outages or...
Paul Laskowski, Adjunct Assistant Professor, School of Information, UC Berkeley
In the past year, several major companies have deployed data processing systems based on differential privacy. These systems use mathematical techniques to limit the information that can be learned about individuals, but a number of limitations threaten the success of this approach. This research will bring statistical techniques to bear...
Kate Miltner, Guest Researcher|PhD Candidate, Department of Media Studies, University of Amsterdam
Corporations, politicians, and educators alike have positioned computer programming as essential for individual job success, and teaching “underrepresented minorities” to code is also frequently offered as a solution for the often-problematic gender and racial politics of Silicon Valley corporations. This project examines the power relations of the learn-to-code trend, particularly...
Noura Howell, PhD Candidate, School of Information, UC Berkeley Sarah Fox, Postdoctoral Scholar, Department of Communication and The Design Lab, UC San Diego Richmond Wong, PhD Candidate, School of Information, UC Berkeley
Biosensing technologies are increasingly present, predicting bodily or emotional health and offering promises of improved efficiency or personal wellness. Menstrual tracking apps, for example, encourage users to report intimate details, from the duration of periods, cervical mucus texture, emotional state, to sexual behavior. These apps offer benefits but also pose...
Andrew Owens, Postdoctoral Researcher, Department of Electrical Engineering and Computer Sciences, UC Berkeley
Advances in photo editing and manipulation tools have made it significantly easier to create fake imagery. Learning to detect such manipulations, however, remains a challenging problem due to the lack of sufficient amounts of manipulated training data. We propose to address this problem by developing new, sample-efficient learning methods that...
Maritza Johnson, Senior Researcher, International Computer Science Institute, UC Berkeley Julia Bernd, Researcher, International Computer Science Institute, UC Berkeley Alisa Frik, Postdoctoral Researcher, International Computer Science Institute, UC Berkeley
This research aims at developing a more comprehensive understanding of how the expanding use of smart home devices affects the privacy of individuals who did not choose to deploy them–and may not even be aware of them–with a focus on the privacy of in-home employees, in particular a case study...
Anil Aswani, Assistant Professor, Department of Industrial Engineering and Operations Research, UC Berkeley Mahbod Olfat, PhD Candidate, Department of Industrial Engineering and Operations Research, UC Berkeley
The proliferation of automated decision-making systems has yielded much commercial success, but the potential of such systems to systematically generate biased decisions threatens to exacerbate the vulnerability of certain subgroups. Especially as the aim of machine learning algorithms shifts from making predictions for consumption by humans to making the very...
Amit Elazari, Lecturer/Director, School of Information, UC Berkeley|Intel
The law governing the information economy is often not prescribed by legislators or courts, but rather by private entities using technology and standard-form contracts. This research proposal seeks to account for the often unobserved role of private ordering in the future of cybersecurity, and suggests that, similar to the revolutionary...