multi-party computation

FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting AAAI 2026 Over-Threshold Multiparty Private Set Intersection for Collaborative Network Intrusion Detection NSDI 2026 Secure Vickrey Auctions for Online Advertising NSDI 2026 Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition AISTATS 2025 SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation ICLR 2025 Ditto: Quantization-aware Secure Inference of Transformers upon MPC ICML 2024 Don’t forget private retrieval: distributed private similarity search for large language models ACL 2024 Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data NeurIPS 2024 Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023 MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention ICCV 2023 Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023 SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation ICCV 2023 SECRECY: Secure collaborative analytics in untrusted clouds NSDI 2023 Data Appraisal Without Data Sharing AISTATS 2022 Secure Multi-party Differential Privacy NeurIPS 2015 Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers NeurIPS 2010