private inference

ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference AAAI 2026 CipherPrune: Efficient and Scalable Private Transformer Inference ICLR 2025 DCT-CryptoNets: Scaling Private Inference in the Frequency Domain ICLR 2025 Disparate Impact on Group Accuracy of Linearization for Private Inference ICML 2024 MERGE: Fast Private Text Generation AAAI 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation NeurIPS 2024 AutoReP: Automatic ReLU Replacement for Fast Private Network Inference ICCV 2023 CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference NeurIPS 2023 Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference ICLR 2023 SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation ICCV 2023 Iron: Private Inference on Transformers NeurIPS 2022 Selective Network Linearization for Efficient Private Inference ICML 2022 Circa: Stochastic ReLUs for Private Deep Learning NeurIPS 2021 CrypTen: Secure Multi-Party Computation Meets Machine Learning NeurIPS 2021 DeepReDuce: ReLU Reduction for Fast Private Inference ICML 2021 CryptoNAS: Private Inference on a ReLU Budget NeurIPS 2020