Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.
A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks.
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Researchers found that an understudied component of computer processors is susceptible to attacks from malicious agents. Then, they developed mitigation mechanisms.
Studying a powerful type of cyberattack, researchers identified a flaw in how it’s been analyzed before, then developed new techniques that stop it in its tracks.
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
Researchers devise an efficient protocol to keep a user’s private information secure when algorithms use it to recommend products, songs, or shows.
PhD candidate Jonathan Zong found a lack of systems that earn and maintain public trust in large-scale online research — so he made one himself.
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
Graduate student Ashwin Narayan takes off the fall semester to work on an election information database.
JTL Urban Mobility Lab researchers examine the effects of protecting user data privacy on the efficiency and service quality of ride-sharing applications.
By securely aggregating sensitive data from cyber-attacks, the SCRAM platform from MIT CSAIL can quantify an organization’s level of security and suggest what to prioritize.
A multinational team develops new tools to slow the spread of pandemics.
CSAIL researcher and web inventor recognized for his startup inrupt, which aims to give users more control over their data.
Chris Capuano, an analytics-friendly Major-Leaguer, pursues his MBA in the Sloan Fellows Program.