DeSkew-LSH based Code-to-Code Recommendation Engine. - Fran Silavong; Sean J. Moran; Antonios Georgiadis; Rohan Saphal; Robert Otter (CoRR, 2021)

Senatus - A Fast and Accurate Code-to-Code Recommendation Engine. - Fran Silavong; Sean J. Moran; Antonios Georgiadis; Rohan Saphal; Robert Otter (MSR, 2022)

ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation. - Antonios Georgiadis; Varun Babbar; Fran Silavong; Sean J. Moran; Robert Otter (CoRR, 2022)

Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies. - Shaltiel Eloul; Fran Silavong; Sanket Kamthe; Antonios Georgiadis; Sean J. Moran (CoRR, 2022)

DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift. - Myeongjun Jang; Antonios Georgiadis; Yiyun Zhao; Fran Silavong (NAACL (Industry Track), 2024)

Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning. - Shaltiel Eloul; Fran Silavong; Sanket Kamthe; Antonios Georgiadis; Sean J. Moran (WACV, 2024)