January 14, 2020

Center for Long-Term Cybersecurity 2020 Research Grantees

The UC Berkeley Center for Long-Term Cybersecurity (CLTC) is proud to announce the recipients of our 2020 research grants. In total, 22 different groups of researchers will share nearly $1 million in funding to support a broad range of initiatives addressing cybersecurity and digital security issues at the intersection of…

January 27, 2021

Reverse Engineer and Counter Adversarial Attacks with Unsupervised Representation Learning

Computer vision has been integrated into many areas of our lives, including facial recognition, augmented reality, autonomous driving, and healthcare. However, making them more accurate and generalizing to real world data alone is no longer sufficient, we have to safe-guard their robustness against malicious attacks in cyberspace. Compared with the…

April 13, 2018

RSVP for 4/26 Seminar with Doug Tygar, “Adversarial Machine Learning”

Thursday, 4/26, 12-1pm Adversarial Machine Learning Please join us on Thursday, April 26 at 12pm for the third and final event in the CLTC Spring 2018 Seminar Series. This seminar will feature Doug Tygar, Professor of Computer Science and Professor of Information Management at UC Berkeley. A light lunch will…

February 8, 2017

Center for Long-Term Cybersecurity Announces 2017 Research Grantees

The Center for Long-Term Cybersecurity (CLTC) is pleased to announce the recipients of our 2017 research grants. In total, 28 different groups of researchers will share a total of over $1 million in funding. The projects span a wide range of topics related to cybersecurity, including new methods for making…

January 14, 2021

CLTC Research Exchange, Day 3: Long-Term Security Implications of AI/ML Systems

  On December 10, the Center for Long-Term Cybersecurity hosted the third event in our 2020 Research Exchange, a series of three virtual conferences that showcased CLTC-funded researchers working across a wide spectrum of cybersecurity-related topics. The December event, themed “Long-Term Security Implications of AI/ML Systems.” featured talks from a…

January 14, 2020

Secure Machine Learning for Adversarial Environments

We plan to build a pipeline that leverages novel robust secure machine learning techniques to detect and defeat cybersecurity threats against computer systems. Modern cyber-threats to computer systems and constitutes a game-theoretic arms race in which sophisticated, well funded attackers evolve to evade detection and detection mechanisms react. We plan…

September 22, 2020

CLTC Report: “Security Implications of 5G Networks”

A new report published by the Center for Long-Term Cybersecurity explores how the widespread adoption of fifth-generation (5G) cellular service will lead to improvements in security — and also expose new threats and attack vectors. The report, “Security Implications of 5G Networks,” is authored by Jon Metzler, a lecturer at the Haas School of Business at UC Berkeley and founder of Blue Field Strategies, a consulting firm helping infrastructure clients such as network operators. The report is based upon research and interviews that Metzler conducted with support from a CLTC grant.

April 10, 2020

New Paper: “Artificial Intelligence Ethics in Practice”

In a recent paper, “Artificial Intelligence Ethics in Practice,” published in ;login:, the USENIX Magazine, Jessica Cussins Newman, Research Fellow at CLTC and Program Director for the AI Security Initiative, together with Rajvardhan Oak, a graduate researcher at CLTC, described some of the key ethical challenges associated with artificial intelligence.

June 7, 2018

Privacy and the Internet of Things: Emerging Frameworks for Policy and Design

Regulators and product makers need to do more to protect consumer data in the Internet of Things (IoT), as the rapid proliferation of web-connected devices is leading to the potentially irreversible erosion of our personal privacy. That is among the key findings of a new research report, Privacy and the…