| You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images | May 25, 2023 | Data AugmentationImage Generation | —Unverified | 0 | 0 |
| Private Networked Federated Learning for Nonsmooth Objectives | Jun 24, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm | Mar 18, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Zero redundancy distributed learning with differential privacy | Nov 20, 2023 | GPUPrivacy Preserving | —Unverified | 0 | 0 |
| Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation | Oct 31, 2024 | Machine UnlearningPrivacy Preserving | —Unverified | 0 | 0 |
| 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 |
| Challenges of Privacy-Preserving Machine Learning in IoT | Sep 21, 2019 | BIG-bench Machine LearningCloud Computing | —Unverified | 0 | 0 |
| Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems | Sep 12, 2023 | FairnessPrivacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix | Aug 2, 2024 | Privacy Preserving | —Unverified | 0 | 0 |
| IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection | Aug 3, 2024 | Fraud DetectionPrivacy Preserving | —Unverified | 0 | 0 |
| HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection | Aug 6, 2024 | Privacy PreservingSynthetic Data Generation | —Unverified | 0 | 0 |
| Random Client Selection on Contrastive Federated Learning for Tabular Data | May 16, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| PixCell: A generative foundation model for digital histopathology images | Jun 5, 2025 | Cell SegmentationData Augmentation | —Unverified | 0 | 0 |
| A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck | Jun 10, 2025 | Federated LearningGenerative Adversarial Network | —Unverified | 0 | 0 |
| 2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem | Jul 23, 2018 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 | 0 |
| A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model | May 7, 2024 | Privacy Preserving | —Unverified | 0 | 0 |