Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

• UpdatedSep 23, 2021
• Python

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

• UpdatedJun 25, 2023
• Python

This is the codebase for defense framework described in USENIX '21 paper "WaveGuard: Understanding and Mitigating Audio Adversarial Examples"

• UpdatedOct 20, 2021
• Python

Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".

• UpdatedSep 11, 2020
• MATLAB

ICCV 2021 papers and code focus on adversarial attacks and defense

• UpdatedNov 5, 2021

Implementation of our proposed defense strategy against adversarial attacks "Defensive Approximation (DA)"

• UpdatedAug 1, 2021
• Jupyter Notebook

DiaLog is a powerful Log File Analyzer that can also do passive analysis of malicious IP's Found in web-server Traffic

• UpdatedDec 21, 2021
• Python

Defense of adversarial attacks on FDD models. fdd-defense is a python library with adversarial attacks on Fault Detection and Diagnostic (FDD) models and defense methods against attacks.

• UpdatedFeb 3, 2025
• Jupyter Notebook

🔒| Evaluating the security (exploiting and fixing vulnerabilities) of Open eClass 2.3 (University of Athens) platform.

• UpdatedAug 1, 2022
• PHP

• UpdatedFeb 20, 2019
• Jupyter Notebook

Defense methods that utilize randomness to mitigate adversarial attacks on NLP models

• UpdatedJul 30, 2021
• Python

A stochastic input pre-processing technique based on a process of down-sampling/up-sampling using convolution and transposed convolution layers. Defending convolutional neural network against adversarial attacks.

• UpdatedAug 4, 2021
• Python

Este projeto foi desenvolvido durante a formação em Typescript da Alura no qual fomos instruídos sobre como criar regras de negócios, como desenvolver aplicações seguras com a "programação defensiva" e também desenvolvemos e aprofundamos os conhecimentos em POO com o TS.

• UpdatedJul 4, 2023
• TypeScript