News

Recent capstone projects targeted vulnerabilities in AI systems and smart devices.

SocIoTy connects common home devices to your phone to provide extra security.

A new study by Hopkins researchers finds that doctors’ diagnostic performance and trust in AI advice depends on how the AI assistant explains itself.

Mathias Unberath’s Future Faculty course equips PhD students and postdoctoral scholars with the knowledge they need to enter the academic job market.

Johns Hopkins researchers release a new standard for evaluating medical AI models to promote fairness and reduce bias.

The two-day event featured various challenges across a range of topics, including web security, cryptography, forensics, and exploitation.

Johns Hopkins researchers show that large language models can generate realistic patient data for training AI models without compromising individual privacy.

MaKhaila Bentil, a first-year PhD student in the Department of Computer Science, was selected to join the third cohort of the prestigious Vivien Thomas Scholars Initiative.

Drew Prinster, Yiqing Shen, and Yunjuan Wang were selected based on their outstanding publication records, research proposals, and mentor support.

The team received recognition in two categories for its blockchain-based charity app.

This year’s results mark Hopkins’ best-ever performance in the Raymond James Capture the Flag cybersecurity challenge.

Jieneng Chen and Benjamin Killeen were recognized for their exemplary achievement in academia, research, and leadership.