The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.

The system analyzes the likelihood that an attacker could thwart a certain security scheme to steal secret information.

New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.

MIT alumnus-founded Metrika has developed a suite of analytics tools giving blockchain communities visibility into their networks.

Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.

MIT researchers have shown that a component of modern computer processors that enables different areas of the chip to communicate with each other is susceptible to a side-channel attack.

Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.

“We aim to inspire the next generation of great computer science researchers who will invent, design and program intelligent computers that we can only dream of today,” says MIT professor Srini Devadas, who runs the computer science section of PRIMES that began in 2012.

Algorand uses a unique architecture developed by MIT Professor Silvio Micali to offer a decentralized, secure, and scalable blockchain.