Pinned Repositories
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
forensics
Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks
Malware-GAN
Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
MalwareGAN
Adversarial Malware Generator Using GANs
RafaelMRA's Repositories
RafaelMRA/Applied-Deep-Learning
Applied Deep Learning Course
RafaelMRA/forensics
Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks
RafaelMRA/Malware-GAN
Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
RafaelMRA/MalwareGAN
Adversarial Malware Generator Using GANs
RafaelMRA/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
RafaelMRA/adv-dnn-ens-malware
adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
RafaelMRA/androguard
Reverse engineering and pentesting for Android applications
RafaelMRA/APIGraph
Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors
RafaelMRA/BlackBoxAttackDNN
Neural Networks exam project. Machine learning algorithm: implementation of FGSM and JSMA attacks by Goodfellow and Papernot.
RafaelMRA/Data-Free-Adversarial-Distillation
Code and pretrained models for paper: Data-Free Adversarial Distillation
RafaelMRA/DIG
A library for graph deep learning research
RafaelMRA/drebin
Drebin - NDSS 2014 Re-implementation
RafaelMRA/GAP
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
RafaelMRA/LIEF
LIEF - Library to Instrument Executable Formats
RafaelMRA/LLMsPracticalGuide
RafaelMRA/MaMadroid
A new version used Androguard but not Soot to realize MaMadroid。
RafaelMRA/model-extraction-iclr
RafaelMRA/MsDroid
A GNN-based Android malware detector in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection" (TDSC 2023)
RafaelMRA/ReviewHelper
RafaelMRA/RMC2024
RafaelMRA/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
RafaelMRA/shap
A game theoretic approach to explain the output of any machine learning model.
RafaelMRA/TOGL
Topological Graph Neural Networks (ICLR 2022)