privacy-preserving inference

PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination AAAI 2026 Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services AAAI 2026 SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute AAAI 2026 SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models ACL 2026 Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation ACL 2026 Tralaleros at SemEval-2026 Task 9: Multilingual Polarization Detection with Transformer-based Models SemEval 2026 zkQML: Verifiable and Privacy-Preserving Inference for Quantum Machine Learning (Student Abstract) AAAI 2026 CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025 EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption ICML 2025 Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025 PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration ACL 2025 PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System AAAI 2025 An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 2024 Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024 Nimbus: Secure and Efficient Two-Party Inference for Transformers NeurIPS 2024 United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus AAAI 2024 MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC ICLR 2023 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023 TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023 CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference NeurIPS 2022 Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions ICML 2022 TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022 THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ACL 2022 FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020 Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020