rafaelmra Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

adv-dnn-ens-malware

adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants

androguard

Reverse engineering and pentesting for Android applications

apigraph

Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors

applied-deep-learning

Applied Deep Learning Course

blackboxattackdnn

Neural Networks exam project. Machine learning algorithm: implementation of FGSM and JSMA attacks by Goodfellow and Papernot.

data-free-adversarial-distillation

Code and pretrained models for paper: Data-Free Adversarial Distillation

dig

A library for graph deep learning research

drebin

Drebin - NDSS 2014 Re-implementation

forensics

Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks

gap

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

lief

LIEF - Library to Instrument Executable Formats

llmspracticalguide

malware-gan

Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017

malwaregan

Adversarial Malware Generator Using GANs

mamadroid

A new version used Androguard but not Soot to realize MaMadroid。

model-extraction-iclr

msdroid

A GNN-based Android malware detector in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection" (TDSC 2023)

reviewhelper

rmc2024

robust-adv-malware-detection

[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly

shap

A game theoretic approach to explain the output of any machine learning model.

togl

Topological Graph Neural Networks (ICLR 2022)