Benchmarking Benchmark Leakage in Large Language Models

This repository contains the coding aspect of the project Leakage Detection in Smart Water Distribution Systems, where the collected data is used for training an ANN model to detect leakage.

Repo contains codes implemented for different side channel attacks and faults for CS579 (physical attacks and countermeasures) for my Master's at Oregon State University

A data quality auditing library for time-series tabular data in financial and sensor domains.

The AutoMLQuantILDetect package utilizes AutoML approaches to accurately detect and quantify system information leakage. We also provide different approaches to estimate mutual information (MI) within systems that release classification datasets to quantify system information leakage.

Personal Information Tracker (PIT) for Android Applications, Detecting Information Leaks from GUI Components (e.g., EditText, RadioButton, Spinner)

Published in Artificial Intelligence in Health (2026) AIH. Leakage-resistant ML for cardiovascular risk prediction in diabetic patients. DOI: 10.36922/AIH025490111

Research Artifact for ASIA CCS'25 Paper: *BranchGauge: Modeling and Quantifying Leakage in Randomization-Based Secure Branch Predictors*.

This project was presented at the AWS Impact Plus Hackathon held at Strathmore University. The project was aimed at Water Conservation to counter the effect of Climate change.

AI-powered leakage detection platform built with DBT workflows, anomaly detection, and predictive analytics.

This is me learning how to quickly improve the quality of my models.

loT-based LPG gas leakage detection and automatic cylinder booking system using Raspberry Pi Pico with real-time monitoring and SMS alerts

End-to-end churn prediction project using the KKBox dataset

Arduino Home Assistant Water Flowmeter (and Leakage WatchDog)

Global sportswear brand performance monitoring system-search trend leading indicators + KPI dashboard for NB Korea BDC

A leakage-free ML pipeline for early pancreatic cancer detection from CT scans — combining handcrafted radiomics (PyRadiomics, ComBat) with volumetric deep learning (3D ResNet-10, MONAI) and explainable AI (SHAP, Grad-CAM).

BSFF — BCI Signal Falsification Framework. A deterministic engine that stress-tests neural-decoding claims (stationarity, leakage, surrogate, Bayesian evidence) and returns a machine-readable verdict. It does not trust. It tests.

Take a look at this dashboard-it gives healthcare providers a clear picture of where their revenue slips away.

This project demonstrates a versatile home automation and safety system using Arduino microcontrollers. It integrates multiple sensors and actuators to provide features like door lock control, temperature monitoring, fire detection, and LPG gas leakage detection.

Capstone A10 | Frontend