NUS team develops tool that can assess vulnerability of AI systems to attacks
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(From left) Mr Mihir Khandekar, Ms Chang Hongyan, Dr Reza Shokri, Ms Aadyaa Maddi, and Mr Roshani Chourasia.
ST PHOTO: TIMOTHY DAVID
Lester Wong
SINGAPORE - National University of Singapore (NUS) researchers have developed a tool to safeguard against a new form of cyber attack that can recreate the data sets containing personal information used to train artificial intelligence (AI) machines.
The tool, called the Machine Learning (ML) Privacy Meter, has been incorporated into the developer toolkit that Google uses to test the privacy protection features of AI algorithms.
