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Found 5 papers, 0 papers with code
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.
Auto DP-SGD: Dual Improvements of Privacy and Accuracy via Automatic Clipping Threshold and Noise Multiplier Estimation
Unfortunately, DP-SGD's per-sample gradient clipping and uniform noise addition during training can significantly degrade model utility.
Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling
In this paper, we identify and explore relevant CTI from hacker forums utilizing different supervised (classification) and unsupervised learning (topic modeling) techniques.
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.
