| Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things | May 26, 2025 | Anomaly DetectionFederated Learning | —Unverified | 0 | 0 |
| Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV | Jul 3, 2024 | Federated LearningIntrusion Detection | —Unverified | 0 | 0 |
| zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof | Dec 1, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs | Jul 15, 2025 | Activity RecognitionFederated Learning | —Unverified | 0 | 0 |
| ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models | Jun 26, 2025 | Privacy Preserving | —Unverified | 0 | 0 |
| zPROBE: Zero Peek Robustness Checks for Federated Learning | Jun 24, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Reconstruction of Privacy-Sensitive Data from Protected Templates | May 8, 2019 | Privacy PreservingQuantization | —Unverified | 0 | 0 |
| z-SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning | Feb 6, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference | Jun 3, 2019 | Privacy Preserving | —Unverified | 0 | 0 |
| Secure Distributed On-Device Learning Networks With Byzantine Adversaries | Jun 3, 2019 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
