Computer science Ph.D. student Steven Shen applies the same creative process to producing electronic music as he does to studying AI and security.
Natalie Lang is transforming encrypted machine learning from a theoretical challenge into a practical reality.
MC2 faculty members Michelle Mazurek and Dana Dachman-Soled helped organize a workshop focused on developing competitive NSF proposals.
Nirupam Roy's lab has developed an AI-enhanced system that protects personal voice data from automated surveillance.
MC2 faculty member Dave Levin and student Annie Dai helped uncover a significant internet security flaw.
The researchers will develop programming tools to make non-interactive zero-knowledge proofs easier to use and reason about.
The award supports her work to create AI methods that help coding tools generate secure and trustworthy software.
The researchers were recognized for revealing how Wi-Fi-based tracking systems can compromise privacy and security on a global scale.
The papers showcase diverse approaches to applied and theoretical research that are focused on privacy issues.
Alexander “Sasha” Frolov is being honored for his innovative research on zero- knowledge proofs and their real-world applications.
