Tudor Cebere

According to our database, Tudor Cebere authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Private Rate-Constrained Optimization with Applications to Fair Learning.

Mohammad Yaghini, Tudor Cebere, Michael Menart, Aurélien Bellet, Nicolas Papernot

CoRR, May, 2025

Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model.

Tudor Ioan Cebere, Aurélien Bellet, Nicolas Papernot

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Confidential-DPproof: Confidential Proof of Differentially Private Training.

Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, Théo Ryffel, Kritika Prakash, Tom Titcombe, Varun Kumar Khare, Maddie Shang, Ionesio Junior, Animesh Gupta, Jason Paumier, Nahua Kang, Vova Manannikov, Andrew Trask

CoRR, 2021

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