Search Results for author: Phil Burlina

Found 3 papers, 0 papers with code

AI Fairness via Domain Adaptation

no code implementations15 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.

Domain Generalization Fairness

Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods

no code implementations4 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.

Generative Adversarial Network

TARA: Training and Representation Alteration for AI Fairness and Domain Generalization

no code implementations11 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.

Domain Generalization Fairness +1

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