| Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning | Sep 8, 2023 | BenchmarkingContinual Learning | CodeCode Available | 0 | 5 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 | 5 |
| Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning | Sep 2, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM | Jun 28, 2019 | Privacy PreservingStochastic Optimization | CodeCode Available | 0 | 5 |
| Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation | Jul 14, 2025 | Domain AdaptationFederated Learning | CodeCode Available | 0 | 5 |
| DP-EM: Differentially Private Expectation Maximization | May 23, 2016 | Privacy Preserving | CodeCode Available | 0 | 5 |
| DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning | Aug 19, 2023 | Multi-agent Reinforcement LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Distributed Differentially Private Computation of Functions with Correlated Noise | Apr 22, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially private partitioned variational inference | Sep 23, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks | Dec 15, 2021 | AllPrivacy Preserving | CodeCode Available | 0 | 5 |
| Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization | Dec 1, 2018 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Noiseless Privacy-Preserving Decentralized Learning | Apr 15, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Adversarial Privacy-preserving Filter | Jul 25, 2020 | Adversarial AttackFace Recognition | CodeCode Available | 0 | 5 |
| Differentially Private Releasing via Deep Generative Model (Technical Report) | Jan 5, 2018 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Congruent Learning for Self-Regulated Federated Learning in 6G | Jan 10, 2024 | Federated LearningManagement | CodeCode Available | 0 | 5 |
| Differentially Private Sliced Wasserstein Distance | Jul 5, 2021 | Domain AdaptationPrivacy Preserving | CodeCode Available | 0 | 5 |
| ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild | May 10, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Differential privacy for symmetric log-concave mechanisms | Feb 23, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Dirichlet Mechanism for Differentially Private KL Divergence Minimization | Oct 3, 2021 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Confidential Prompting: Protecting User Prompts from Cloud LLM Providers | Sep 27, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| AdaCliP: Adaptive Clipping for Private SGD | Aug 20, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Differential Privacy at Risk: Bridging Randomness and Privacy Budget | Mar 2, 2020 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Disparate Impact on Group Accuracy of Linearization for Private Inference | Feb 6, 2024 | FairnessPrivacy Preserving | CodeCode Available | 0 | 5 |
| Domain Adaptation from Scratch | Sep 2, 2022 | Active LearningDomain Adaptation | CodeCode Available | 0 | 5 |
| DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV | Aug 17, 2024 | CPUDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
