| Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner | Jul 29, 2016 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 | 0 |
| A Quantization-based Technique for Privacy Preserving Distributed Learning | Jun 26, 2024 | Privacy PreservingQuantization | —Unverified | 0 | 0 |
| Code Integrity Attestation for PLCs using Black Box Neural Network Predictions | Jun 15, 2021 | Privacy Preserving | —Unverified | 0 | 0 |
| CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning | Feb 2, 2019 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis | Sep 12, 2022 | blind source separationFederated Learning | —Unverified | 0 | 0 |
| A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis | Jan 18, 2022 | Domain AdaptationInference Attack | —Unverified | 0 | 0 |
| SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning | Sep 24, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 | 0 |
| Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data | Mar 27, 2025 | Few-Shot LearningMeta-Learning | —Unverified | 0 | 0 |
| A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses | Oct 18, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| Similarity-based Label Inference Attack against Training and Inference of Split Learning | Mar 10, 2022 | ClusteringInference Attack | —Unverified | 0 | 0 |
