Shaltiel Eloul
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2021–2024
Best venue rank
A
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ECIR | Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning. | Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia |
| 2024 | ECIR | Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data. | Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia |
| 2024 | WACV | 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 |
| 2022 | CIKM | Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. | Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul |
| 2021 | ACSAC | Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback. | Shaltiel Eloul, Sean J. Moran, Jacob Mendel |