PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. - Daniele Romanini; Adam James Hall; Pavlos Papadopoulos; Tom Titcombe; Abbas Ismail; Tudor Cebere; Robert Sandmann; Robin Roehm; Michael A. Hoeh (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)

Confidential-DPproof: Confidential Proof of Differentially Private Training. - Ali Shahin Shamsabadi; Gefei Tan; Tudor Cebere; Aurélien Bellet; Hamed Haddadi; Nicolas Papernot; Xiao Wang 012; Adrian Weller (ICLR, 2024)

Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model. - Tudor Ioan Cebere; Aurélien Bellet; Nicolas Papernot (ICLR, 2025)

Private Rate-Constrained Optimization with Applications to Fair Learning. - Mohammad Yaghini; Tudor Cebere; Michael Menart; Aurélien Bellet; Nicolas Papernot (CoRR, 2025)