egesko

SideChannel-AdversarialAI

Adversarial AI to Prevent Microarchitectural Website Detection Attacks

YoanoGAN

YoanoGAN is a generative adversarial network that uses a discriminator and a generator model to find correct noises to introduce to reduce the accuracy of any arbitrary classification model (with respect to the dataset that it's trained on).

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

capsa

A data- and model-agnostic neural network wrapper for risk-aware decision making

CLIP-testing

Contrastive Language-Image Pretraining(Testing)

egesko

Config files for my GitHub profile.

Gun-Game

This is the repository of an app in development, currently named Gun-Game

Rant

Remote repository for Rant. developers. Various parts of project can be found in respective folders

Step-Detection

Final Project for EE 425 course (Machine Learning)

egesko.github.io

examples

TensorFlow examples

tf-keras-vis

Neural network visualization toolkit for tf.keras