Tom Titcombe

According to our database, Tom Titcombe authored at least 5 papers between 2020 and 2021.

Collaborative distances:

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

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

Practical Defences Against Model Inversion Attacks for Split Neural Networks.

Tom Titcombe, Adam J. Hall, Pavlos Papadopoulos, Daniele Romanini

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

U-Noise: Learnable Noise Masks for Interpretable Image Segmentation.

Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

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