System predicts 85 percent of cyber-attacks using input from human experts
Virtual artificial intelligence analyst developed by the Computer Science and Artificial Intelligence Lab and PatternEx reduces false positives by factor of 5.
U.S., EU leaders talk Web policy and world economy at MIT
With EU vice president, U.S. secretary of commerce discusses EU-U.S. “Privacy Shield” and launches new policy program.
MIT, Cambridge University team up for “Cambridge 2 Cambridge” hackathon
Hosted by the Computer Science and Artificial Intelligence Laboratory, event featured mixed student teams tackling cybersecurity challenges.
CSAIL report: Giving government special access to data poses major security risks
Whether “backdoor” or “front-door,” government access imperils your data, report authors say.
Privacy challenges
Analysis: It’s surprisingly easy to identify individuals from credit-card metadata.
Drones, Bitcoin, and robotic fish
Here are eight of the coolest things that happened at CSAIL in 2014.
Raising cryptography’s standards
Calculating encryption schemes’ theoretical security guarantees eases comparison, improvement.
Own your own data
A new system would allow individuals to pick and choose what data to share with websites and mobile apps.
MIT, White House co-sponsor workshop on big-data privacy
MIT hosts the first of three conferences on privacy policy
White House to co-host workshop at MIT on ‘big data’ and privacy
March 3 event convenes academics, representatives of industry, and top government officials to discuss big data and the role of technology in protecting privacy.
How hard is it to 'de-anonymize' cellphone data?
A new formula that characterizes the privacy afforded by large, aggregate data sets may be discouraging, but could help sharpen policy discussion.
CSAIL research examines how smartphone apps track users
Decentralized Information Group shows that many applications collect data even when 'idle'