Antonios Georgiadis

According to our database, Antonios Georgiadis authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift.

Myeongjun Jang, Antonios Georgiadis, Yiyun Zhao, Fran Silavong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

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

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

Senatus - A Fast and Accurate Code-to-Code Recommendation Engine.

Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

DeSkew-LSH based Code-to-Code Recommendation Engine.

Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter

CoRR, 2021