| Hot PATE: Private Aggregation of Distributions for Diverse Task | Dec 4, 2023 | DiversityIn-Context Learning | —Unverified | 0 |
| Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond | Dec 2, 2023 | Privacy Preserving | —Unverified | 0 |
| PAC Privacy Preserving Diffusion Models | Dec 2, 2023 | Privacy Preserving | —Unverified | 0 |
| PROFL: A Privacy-Preserving Federated Learning Method with Stringent Defense Against Poisoning Attacks | Dec 2, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof | Dec 1, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Hashmarks: Privacy-Preserving Benchmarks for High-Stakes AI Evaluation | Dec 1, 2023 | FormLanguage Modeling | —Unverified | 0 |
| FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation | Nov 30, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Grounding Foundation Models through Federated Transfer Learning: A General Framework | Nov 29, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning | Nov 29, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
| MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning | Nov 28, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
