| Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds | Feb 1, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation | Jan 31, 2023 | GPUPrivacy Preserving | CodeCode Available | 0 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 |
| FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation | Jan 30, 2023 | Deep LearningFederated Learning | —Unverified | 0 |
| Efficient Node Selection in Private Personalized Decentralized Learning | Jan 30, 2023 | Privacy Preserving | CodeCode Available | 0 |
| Extracting Training Data from Diffusion Models | Jan 30, 2023 | Privacy Preserving | CodeCode Available | 1 |
| Decentralized Entropic Optimal Transport for Distributed Distribution Comparison | Jan 28, 2023 | Domain AdaptationPrivacy Preserving | —Unverified | 0 |
| Context-Aware Differential Privacy for Language Modeling | Jan 28, 2023 | Language ModelingLanguage Modelling | —Unverified | 0 |
| FedPH: Privacy-enhanced Heterogeneous Federated Learning | Jan 27, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference | Jan 26, 2023 | Federated LearningNeural Architecture Search | —Unverified | 0 |
