Paper “PrivCirNet: Efficient Private Inference via Block Circulant Transformation” is accepted to 2024 Neural Information Processing Systems (NeurIPS'24)! [paper], [code].
Tianshi Xu is now a second-year Ph.D. student at the School of Integrated Circuit, Peking University. His research interests include privacy and security of AI, especially privacy-preserving deep learning (PPDL).