New security protocol shields data from attackers during cloud-based computation
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.
AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?
With decades of experience working across the laboratory’s R&D areas, Choi brings a focus on collaboration, technical excellence, and unity.
The award recognizes his contributions as director of MIT Lincoln Laboratory and as vice chair and chair of the Defense Science Board.
Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.
Boards of directors are on the hook for management, governance, and disclosure reporting.
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
Lincoln Laboratory–developed Timely Address Space Randomization (TASR) was transferred to two commercial providers of cloud-based services.
State-of-the-art toolset will bridge academic innovations and industry pathways to scale for semiconductors, microelectronics, and other critical technologies.
The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.
Speranza system brings hope to users that the package they download is functional software, not malware.
The computer scientist will study global affairs at Tsinghua University in China as part of the 2025-26 class of Schwarzman Scholars.
During 18 years of leadership, Evans established new R&D mission areas, strengthened ties to the MIT community, and increased inclusion and education efforts.
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.