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.
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.
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
CSAIL system encourages government transparency using cryptography on a public log of wiretap requests.