A Baseline Generative Probabilistic Model for Weakly Supervised Learning. - Georgios Papadopoulos 007; Fran Silavong; Sean J. Moran (ECML/PKDD (6), 2023)

A Benchmark Generative Probabilistic Model for Weak Supervised Learning. - Georgios Papadopoulos 007; Fran Silavong; Sean J. Moran (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)

Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders. - Dimitar Georgiev; Álvaro Fernández-Galiana; Simon Vilms Pedersen; Georgios Papadopoulos 007; Ruoxiao Xie; Molly M. Stevens; Mauricio Barahona (CoRR, 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)

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)