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Facebook Report on Privacy of fNIRS data
The primary goal of this project is to develop privacy-preserving machine learning model training techniques for fNIRS data.
Kernel-Segregated Transpose Convolution Operation
The main reason for unnecessary multiplication operations is zeros at predefined positions in the input feature map.
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
The dataset from the Kaggle website is used to evaluate the designed model for COVID-19 detection.
An Object Detection based Solver for Google's Image reCAPTCHA v2
Previous work showed that reCAPTCHA v2's image challenges could be solved by automated programs armed with Deep Neural Network (DNN) image classifiers and vision APIs provided by off-the-shelf image recognition services.
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
In recent years, deep learning techniques have been utilized for a more accurate BG level prediction system.
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