The paper introduces DPSUR, a new privacy-preserving machine learning framework that selectively updates and releases data during model training. This technique is designed to protect against privacy attacks such as…
Continue readingThe article discusses the use of blockchain technology to address data privacy and security issues in collaborative machine learning over Internet of Things (IoT) devices. Traditional centralized machine learning models…
Continue readingThis research paper presents PrivRecourse, a solution to the privacy issues that arise when generating realistic recourse paths based on instance-based counterfactual explanations. The system uses differentially private (DP) clustering…
Continue readingThe research proposes a federated learning framework for intrusion detection in Internet of Vehicles (IOVs) using the CIC-IDS 2017 dataset. The framework uses SMOTE for handling class imbalance, outlier detection…
Continue readingThe article discusses the design of a tablet-based application called Co-ML meant to foster learning of Dataset Design Practices (DDPs) for creating inclusive ML models. The application allows beginners to…
Continue readingThe paper examines the capacity of AI, specifically GPT-4, to independently generate and verify hypotheses for a machine learning research problem. The authors minimized instructions on hypothesis generation, verification, and…
Continue readingThe article discusses the importance of smart technologies in supporting the elderly to live independently in their homes. It highlights the use of Artificial Intelligence (AI) and Machine Learning (ML)…
Continue readingThe study investigates the use of in-vehicle sensing and data analysis to detect early signs of cognitive impairment in older drivers. The researchers designed low-cost sensing hardware to collect high-precision…
Continue readingThis paper discusses the use of denoising diffusion probabilistic models (DDPM) for medical image segmentation. The researchers highlight the challenges in this field, such as limited dataset sizes and the…
Continue readingThe article presents a framework for authenticating users of Brain-Computer Interfaces (BCIs) using P300 potential, a type of brainwave elicited by known images. The authors validate their framework through an…
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