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)

U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. - Teddy Koker; Fatemehsadat Mireshghallah; Tom Titcombe; Georgios Kaissis (ICIP, 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)

Practical Defences Against Model Inversion Attacks for Split Neural Networks. - Tom Titcombe; Adam J. Hall; Pavlos Papadopoulos; Daniele Romanini (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)