Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning. - Nick Angelou; Ayoub Benaissa; Bogdan Cebere; William Clark; Adam James Hall; Michael A. Hoeh; Daniel Liu; Pavlos Papadopoulos; Robin Roehm; Robert Sandmann; Phillipp Schoppmann; Tom Titcombe (CoRR, 2020)

TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption. - Ayoub Benaissa; Bilal Retiat; Bogdan Cebere; Alaa Eddine Belfedhal (CoRR, 2021)

Syft 0.5: A Platform for Universally Deployable Structured Transparency. - Adam James Hall; Madhava Jay; Tudor Cebere; Bogdan Cebere; Koen Lennart van der Veen; George Muraru; Tongye Xu; Patrick Cason; William Abramson; Ayoub Benaissa; Chinmay Shah; Alan Aboudib; et al. (CoRR, 2021)

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. - Daniel Jarrett; Bogdan Cebere; Tennison Liu; Alicia Curth; Mihaela van der Schaar (ICML, 2022)

AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning. - Fergus Imrie; Bogdan Cebere; Eoin F. McKinney; Mihaela van der Schaar (CoRR, 2022)

SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. - Alexander Norcliffe; Bogdan Cebere; Fergus Imrie; Pietro Liò; Mihaela van der Schaar (AISTATS, 2023)

Synthcity: facilitating innovative use cases of synthetic data in different data modalities. - Zhaozhi Qian; Bogdan-Constantin Cebere; Mihaela van der Schaar (CoRR, 2023)

Down to earth! Guidelines for DGA-based Malware Detection. - Bogdan-Constantin Cebere; Jonathan Lasse Bennet Flueren; Silvia Sebastián; Daniel Plohmann; Christian Rossow (RAID, 2024)

Understanding Web Fingerprinting with a Protocol-Centric Approach. - Bogdan Cebere; Christian Rossow (RAID, 2024)