Two Papers Accepted by ICCAD2024 (CCF B)!
Paper “PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization” and “FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference” are accepted to 2024 IEEE/ACM International Conference on Computer Aided Design (ICCAD)! [Link]. Papers will be released soon!
Tianshi Xu
Second-Year PhD student
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).