hihey54

tensorflow

An Open Source Machine Learning Framework for Everyone

SecLists

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

social-engineer-toolkit

The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here.

awesome-knowledge-distillation

Awesome Knowledge Distillation

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

dtaidistance

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

Fast-Pandas

Benchmark for different operations in pandas against various dataframe sizes.

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

SOREL-20M

Sophos-ReversingLabs 20 million sample dataset

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

KitNET-py

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

LeagueAI

LeagueAI software framework for League of Legends that provides information about the state of the game based on Image Recognition using OpenCV and Pytorch.

CADE

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

p5spc.saveutil

A simple save decryption, encryption and conversion utility for P5S PC

VisualPhishNet

pdfrate

acsac22_spacephish

Repository for the paper "SpacePhish" accepted at ACSAC'22

CEF-SsL

Repository for the paper "SoK: The Impact of Unlabelled Data in Cyberthreat Detection", published at EuroSP2022.

dummy-ML_NIDS

A simple Jupyter Notebook for kickstarting ML-based projects on Network Intrusion Detection Systems

pragmaticAssessment

Repository for the EuroS&P'23 paper "SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection"

real-gradients.github.io

Website of the paper "Real Attackers Don't Compute Gradients": Bridging the Gap between Adversarial ML Research and Practice

Adversarial-phishing-logos

django-rent-a-cat

Information Systems Development Project @ UniLi

DReLAB_tutorial

In this tutorial we show how to develop proficient botnet classifiers, and then how to use the DReLAB dataset to evade them.

Dota2AIA

Repository of the paper "Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2", accepted at ACM CODASPY'23.

ISD22

ISD22 Project

00-Project-Y

BPMN Suite Team PACE

Dr-and-Hospitals-Liechtenstein

sac24_labeling

Repository for our SAC'24 paper

mlspace_robustness

Artifacts of the paper "Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation" accepted to the IEEE Space Computing Conference 2024