A Max/MSP Approach for Incorporating Digital Music via Laptops in Live Performances of Music Bands. - Yehiel Amo; Gil Zissu; Shaltiel Eloul; Eran Shlomi; Dima Schukin; Almog Kalifa (NIME, 2014)

42Percent Noir - Animation by Pianist. - Shaltiel Eloul; Gil Zissu (BCS HCI, 2016)

Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback. - Shaltiel Eloul; Sean J. Moran; Jacob Mendel (ACSAC, 2021)

Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. - Xiaoying Zhi; Yash Satsangi; Sean J. Moran; Shaltiel Eloul (CIKM, 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)

Topical: Learning Repository Embeddings from Source Code using Attention. - Agathe Lherondelle; Yash Satsangi; Fran Silavong; Shaltiel Eloul; Sean J. Moran (CoRR, 2022)

Expressive variational quantum circuits provide inherent privacy in federated learning. - Niraj Kumar 005; Jamie Heredge; Changhao Li; Shaltiel Eloul; Shree Hari Sureshbabu; Marco Pistoia (CoRR, 2023)

Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning. - Georgios Papadopoulos 007; Yash Satsangi; Shaltiel Eloul; Marco Pistoia (ECIR (4), 2024)

Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data. - Georgios Papadopoulos 007; Yash Satsangi; Shaltiel Eloul; Marco Pistoia (ECIR (4), 2024)

Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings. - Agathe Lherondelle; Varun Babbar; Yash Satsangi; Fran Silavong; Shaltiel Eloul; Sean J. Moran (FinanSE@ICSE, 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)

Private, Auditable, and Distributed Ledger for Financial Institutes. - Shaltiel Eloul; Yash Satsangi; Yeoh Wei Zhu; Omar Amer; Georgios Papadopoulos 007; Marco Pistoia (CoRR, 2025)

Applications of Certified Randomness. - Omar Amer; Shouvanik Chakrabarti; Kaushik Chakraborty; Shaltiel Eloul; Niraj Kumar 005; Charles Lim; Minzhao Liu; Pradeep Niroula; Yash Satsangi; Ruslan Shaydulin; Marco Pistoia (CoRR, 2025)

A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks. - Georgios Papadopoulos 007; Shaltiel Eloul; Yash Satsangi; Jamie Heredge; Niraj Kumar 005; Chun-Fu Chen 001; Marco Pistoia (CoRR, 2025)

Certified randomness using a trapped-ion quantum processor. - Minzhao Liu; Ruslan Shaydulin; Pradeep Niroula; Matthew DeCross; Shih-Han Hung; Wen Yu Kon; Enrique Cervero Martín; Kaushik Chakraborty; Omar Amer; Scott Aaronson; Atithi Acharya; Yuri Alexeev; et al. (Nat., 2025)