Shaltiel Eloul

17 papers A 3Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Practical Post-Quantum Distributed Ledger Protocol for Financial Institutions. CoRR Yeoh Wei Zhu, Naresh Goud Boddu, Yao Ma, Shaltiel Eloul, Giulio Golinelli, Yash Satsangi, Rob Otter, Kaushik Chakraborty
2025	J	`jnl`	A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks. CoRR Georgios Papadopoulos, Shaltiel Eloul, Yash Satsangi, Jamie Heredge, Niraj Kumar, Chun-Fu Chen, Marco Pistoia
2025	J	`jnl`	Applications of Certified Randomness. CoRR Omar Amer, Shouvanik Chakrabarti, Kaushik Chakraborty, Shaltiel Eloul, Niraj Kumar, Charles Lim, Minzhao Liu, Pradeep Niroula, Yash Satsangi, Ruslan Shaydulin, Marco Pistoia
2025	J	`jnl`	Certified randomness using a trapped-ion quantum processor. CoRR 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, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia
2025	J	`jnl`	Certified randomness using a trapped-ion quantum processor. Nat. 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, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia
2025	J	`jnl`	Private, Auditable, and Distributed Ledger for Financial Institutes. CoRR Shaltiel Eloul, Yash Satsangi, Yeoh Wei Zhu, Omar Amer, Georgios Papadopoulos, Marco Pistoia
2024	—	`conf`	Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning. ECIR (4) Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia
2024	A	`conf`	Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning. WACV Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran
2024	—	`conf`	Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data. ECIR (4) Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia
2024	—	`conf`	Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings. FinanSE@ICSE Agathe Lherondelle, Varun Babbar, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2023	J	`jnl`	Expressive variational quantum circuits provide inherent privacy in federated learning. CoRR Niraj Kumar, Jamie Heredge, Changhao Li, Shaltiel Eloul, Shree Hari Sureshbabu, Marco Pistoia
2022	J	`jnl`	Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies. CoRR Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran
2022	A	`conf`	Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. CIKM Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul
2022	J	`jnl`	Topical: Learning Repository Embeddings from Source Code using Attention. CoRR Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran
2021	A	`conf`	Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback. ACSAC Shaltiel Eloul, Sean J. Moran, Jacob Mendel
2016	—	`conf`	42Percent Noir - Animation by Pianist. BCS HCI Shaltiel Eloul, Gil Zissu
2014	—	`conf`	A Max/MSP Approach for Incorporating Digital Music via Laptops in Live Performances of Music Bands. NIME Yehiel Amo, Gil Zissu, Shaltiel Eloul, Eran Shlomi, Dima Schukin, Almog Kalifa