My senior thesis on the effect of adversaries on a network coordination task

In this project, we are going to define two adversarial networks, a generator and a discriminator, and train them until we can generate realistic faces.

Chrome extension for online image privacy. Returns you your privacy on uploaded social media images, by fooling machine learning-based image classification algorithms

Adversarial Generalized TSP, MST and NN

PyTorch implementation of projected gradient descent (PGD) adversarial noise attack

This study provides a comprehensive comparison of the different algorithms implemented on a reservoir system, and the results are statistically analyzed from the results of other machine learning algorithms. It generates new data which is passed on from the discriminator of the Generative Adversarial Network.

Submissions for NIPS competitions (non-targeted attack, targeted attack, defence)

Empirical Study of Adversarial Attacks on Deep Models for ESC

Code for the paper "Relating Implicit Bias and Adversarial Attacks through Intrinsic Dimension" [https://arxiv.org/abs/2305.15203] -- Now +CLIP!

DGSAN: Discrete Generative Self-Adversarial Network

Improving style transfer of VGG using adversarial training

Pytorch Implementation of SemiAdv.

A simple GUI application for generating adversarial poses of objects.

Projected Gradient Descent (PGD), inverted and amplified -> prompt & generate images with CLIP

slidedeck and resources for my talk on adversarial examples in medical imaging

Staking Pool Simulator and Graphs

Source code for ESORICS 2020 paper "Detection by attack: Detecting adversarial samples by undercover attack"

Intelligent Agent to play Connect-4 with a modifiable depth aided with a decision tree visualizer to trace the agent's decision making process

Noise adding techniques in order to deceive the state of the art handcrafted features.