55 citations · 57 across the 4 of their papers we have counts for
4 papers
Systemic Fairness
Arindam Ray, Balaji Padmanabhan, Lina Bouayad
Machine learning algorithms are increasingly used to make or support decisions in a wide range of settings. With such expansive use there is also growing concern about the fairness…
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
Rouzbeh Behnia, Arman Riasi, Reza Ebrahimi +3
Secure aggregation protocols ensure the privacy of users' data in federated learning by preventing the disclosure of local gradients. Many existing protocols impose significant com…
Privately Fine-Tuning Large Language Models with Differential Privacy
Rouzbeh Behnia, Mohamamdreza Ebrahimi, Jason Pacheco +1
Pre-trained Large Language Models (LLMs) are an integral part of modern AI that have led to breakthrough performances in complex AI tasks. Major AI companies with expensive infrast…
Whom to Test? Active Sampling Strategies for Managing COVID-19
Yingfei Wang, Inbal Yahav, Balaji Padmanabhan
This paper presents methods to choose individuals to test for infection during a pandemic such as COVID-19, characterized by high contagion and presence of asymptomatic carriers. T…