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 ICCAD2024 (acceptance rate:23%)!