fully homomorphic encryption

A Framework for Double-Blind Federated Adaptation of Foundation Models ICCV 2025 CryptoFace: End-to-End Encrypted Face Recognition CVPR 2025 DCT-CryptoNets: Scaling Private Inference in the Frequency Domain ICLR 2025 EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption ICML 2025 Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning CVPR 2025 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions ICML 2022 FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020 Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NeurIPS 2020 Patient Privacy in Paralinguistic Tasks Interspeech 2018 TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service ICML 2018