no code implementations • 15 Mar 2021 • Neil Joshi, Phil Burlina
While deep learning (DL) approaches are reaching human-level performance for many tasks, including for diagnostics AI, the focus is now on challenges possibly affecting DL deployment, including AI privacy, domain generalization, and fairness.
no code implementations • 4 Mar 2021 • William Paul, Yinzhi Cao, Miaomiao Zhang, Phil Burlina
Machine learning (ML) models used in medical imaging diagnostics can be vulnerable to a variety of privacy attacks, including membership inference attacks, that lead to violations of regulations governing the use of medical data and threaten to compromise their effective deployment in the clinic.
no code implementations • 11 Dec 2020 • William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Phil Burlina
Our experiments also demonstrate the ability of these novel metrics in assessing the Pareto efficiency of the proposed methods.