urwithajit9

100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable

ClaMP

A Malware classifier dataset built with header fields’ values of Portable Executable files

FAMOUS

FAMOUS is a forensic analysis tool built to triage Android applications and to assist the analyst in the selection of applications for further in-depth or manual analysis. The motivation behind FAMOUS is to overcome the limitations of the signature-based triaging forensic tool. The main functions of FAMOUS is to assign a proper class label (among benign and malware/suspicious) to every selected Android application by underlying classification engine. Each classification engine is built by training and testing different machine learning algorithms on proposed permission’s score based feature set that is extracted from a large dataset. Currently, in the proof-of-concept implementation, it has only best-performing classifier but it can be easily extended with more classifiers. Screenshots of the main window and result window of FAMOUS are attached for Understanding..

FDIA-classification

This repository will have pre-processed dataset and related scripts for building Machine learning based model for classification of False Data Injection Attack.

HG_NeuralNetwork

Python code for Hacker's guide to Neural Networks - Andrej Karpathy blog

huggingface-demo-mlops-coursera

learning-rust

This repo has example code from leanring rust from MLops coursera .

MLOps-pytest-coursera

Learning codespace and Pytest under coursera MLOps course

MLops-template-coursera

This is a template taken from MLops class from coursera

Practical-Machine-Learning-With-Python

Machine Learning Tutorials in Python

urwithajit9/FDIA-classification

This repository will have pre-processed dataset and related scripts for building Machine learning based model for classification of False Data Injection Attack.

urwithajit9/F2Amapper

This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to the attack classes defined and curated malapi.io.

urwithajit9/MLEP-public

Public repo for DeepLearning.AI MLEP Specialization

urwithajit9/moviepy

Video editing with Python

urwithajit9/SOREL-20M

Sophos-ReversingLabs 20 million sample dataset

urwithajit9/FAMOUS

FAMOUS is a forensic analysis tool built to triage Android applications and to assist the analyst in the selection of applications for further in-depth or manual analysis. The motivation behind FAMOUS is to overcome the limitations of the signature-based triaging forensic tool. The main functions of FAMOUS is to assign a proper class label (among benign and malware/suspicious) to every selected Android application by underlying classification engine. Each classification engine is built by training and testing different machine learning algorithms on proposed permission’s score based feature set that is extracted from a large dataset. Currently, in the proof-of-concept implementation, it has only best-performing classifier but it can be easily extended with more classifiers. Screenshots of the main window and result window of FAMOUS are attached for Understanding..

urwithajit9/advmlthreatmatrix

Adversarial Threat Matrix

urwithajit9/aflnet

AFLNet: A Greybox Fuzzer for Network Protocols (https://thuanpv.github.io/publications/AFLNet_ICST20.pdf)

urwithajit9/CoSimul_Platform

A smart grid co-simulation platform based on mosaik

urwithajit9/DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

urwithajit9/Federated-Learning-for-Traffic-Sign-Recognition

In this project, we build a simple federated deep learning model (i.e., LeNet model) that classifies 62 differents Belgian Traffic Signs.

urwithajit9/FedEval

urwithajit9/Khepri

🔥🔥🔥Free,Open-Source,Cross-platform agent and Post-exploiton tool written in Golang and C++, the architecture and usage like Cobalt Strike

urwithajit9/Labeled-Elfs

A collection of well labeled ELF binaries compiled from benign and malicious code in various ways. Great for exploring similarity in executables and training various ML models.

urwithajit9/learning-malware-analysis

This repository contains sample programs that mimick behavior found in real-world malware. The goal is to provide source code that can be compiled and used for learning purposes, without having to worry about handling live malware.

urwithajit9/LIEF

LIEF - Library to Instrument Executable Formats

urwithajit9/LLSF-Learning-Label-Specific-Features-for-Multi-Label-Classifcation

A research paper implementation from scratch for improving classification for imbalanced datasets.

urwithajit9/malware-sample-library

Malware sample library.

urwithajit9/malware-samples

Malware samples and other artifacts

urwithajit9/managed_ml_systems_and_iot

Managed Machine Learning Systems and Internet of Things Live Lesson

urwithajit9/mbc-markdown

MBC content in markdown

urwithajit9/osq-ext-bin

Extension to osquery windows that enhances it with real-time telemetry, log monitoring and other endpoint data collection

urwithajit9/paper_collection

Academic papers related to fuzzing, binary analysis and exploit dev, that I want to read or have already read

urwithajit9/plaso

Super timeline all the things

urwithajit9/RegRipper2.8

RegRipper version 2.8

urwithajit9/restless

Always-on anti-malware software using malicious language processing (hierarchical attention network). Functional WIP

urwithajit9/SplitFed-When-Federated-Learning-Meets-Split-Learning

Releasing the source code Version1.

urwithajit9/tripwire-open-source

Open Source Tripwire®

urwithajit9/v18

urwithajit9/Windows-PE32-malware-dynamic-analysis

A set of scripts for automated dynamic MS Windows PE32 malware analysis using sandbox virtual environemnt