Our research in privacy and security takes an interdisciplinary approach to detecting and removing threats of cyberattacks, enhancing predictability and trust, and understanding online privacy and information manipulation. Our research methodology is rooted in several disciplines, including computer science, applied mathematics, cognitive science, control theory, economics, social sciences, and public policy. Specifically, we conduct research to understand issues and seize opportunities in systems and software security, usability considerations in privacy and security, economics of information security, and data-driven security, among many others.
Privacy and Security
July 28, 2021
As online fake news detectors and spam filters become more sophisticated, so do attackers’ methods to trick them — including attacks through the “universal trigger.” In this learning-based method, an attacker uses a phrase or set of words to fool an indefinite number of inputs, which could lead to more fake news appearing in your social media fe
July 7, 2021
When it comes to what users share on Twitter, women and users who never attended college voluntarily disclose more personal information than users from other socioeconomic and demographic backgrounds — potentially making these populations more susceptible to online privacy threats, according to a recent study led by the Penn State College of Inf
June 23, 2021
A $1.2 million National Science Foundation (NSF) grant will help researchers build a search engine and create other resources for scientists who need to scour billions of online documents to improve online privacy.
June 18, 2021
A Penn State team of researchers found that clickbait often did not perform any better and, in some cases, performed worse than traditional headlines. They also found that artificial intelligence systems designed to spot clickbait struggled with the task.