homomorphic encryption

Hyperion: Private Token Sampling with Homomorphic Encryption ACL 2026 PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination AAAI 2026 Privacy-Preserving Argumentative Explanations (Student Abstract) AAAI 2026 ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping AAAI 2026 SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute AAAI 2026 A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025 Efficient Decoding Methods for Language Models on Encrypted Data IJCNLP 2025 Encryption-Friendly LLM Architecture ICLR 2025 FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks ICML 2025 IDFace: Face Template Protection for Efficient and Secure Identification ICCV 2025 Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning CVPR 2025 Powerformer: Efficient and High-Accuracy Privacy-Preserving Language Model with Homomorphic Encryption ACL 2025 PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System AAAI 2025 AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning ICML 2024 Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024 Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption ICML 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 Fast White-Box Adversarial Streaming Without a Random Oracle ICML 2024 Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption ICML 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation NeurIPS 2024 Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space CVPR 2024 The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract) AAAI 2024 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NeurIPS 2023 HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption ICML 2023