Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy A benchmark and evaluation for reproducibility in differential privacy with state-of-the-art DP synthesizers. Fairness-Enhancing Interventions in ML Pipelines Exploring fairness-enhancing methods in binary classification pipelines using AIF360 and Folktables datasets. Out-of-distribution Robustness Evaluation of State-of-the-art Vision Models Research project comparing the robustness of 58 computer vision models Explaining Predictions with SHAP Using SHAP to interpret predictions from a classifier trained on the 20 Newsgroups dataset. Nutritional Labels for Automated Decision Systems by Home Credit Default Risk A fairness and explainability analysis on loan repayment predictions using machine learning models. Privacy-Preserving Synthetic Data Generating privacy-preserving synthetic datasets and evaluating their accuracy and fairness using Data Synthesizer and MST. Spiking Neural Network Simulatation: Modeling and Synchronization Analysis A Python-based simulator exploring spiking neural networks and synchronization properties in neuronal systems. Time-series Medical Image Classification Image Classification Model for Temporal Disease Progression of Chest X-ray dataset
