Two Models are Better Than One: Federated Learning is Not Private for Google GBoard Next Word Prediction. - Mohamed Suliman 002; Douglas J. Leith (ESORICS (4), 2023)

Re-evaluating the Privacy Benefit of Federated Learning. - Mohamed Suliman 002; Douglas J. Leith; Anisa Halimi (PKDD/ECML Workshops (5), 2023)

Securing Floating-Point Arithmetic for Noise Addition. - Naoise Holohan; Stefano Braghin; Mohamed Suliman 002 (CCS, 2024)

Towards a Re-evaluation of Data Forging Attacks in Practice. - Mohamed Suliman 002; Anisa Halimi; Swanand Kadhe; Nathalie Baracaldo; Douglas J. Leith (CoRR, 2024)