met1366's Stars
GreyDGL/PentestGPT
A GPT-empowered penetration testing tool
jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Azure/PyRIT
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
mushorg/conpot
ICS/SCADA honeypot
mitre/advmlthreatmatrix
Adversarial Threat Landscape for AI Systems
sintel-dev/Orion
A machine learning library for detecting anomalies in signals.
PAIR-code/what-if-tool
Source code/webpage/demos for the What-If Tool
Azure/counterfit
a CLI that provides a generic automation layer for assessing the security of ML models
Azure/Azure-Network-Security
Resources for improving Customer Experience with Azure Network Security
nccgroup/fuzzowski
the Network Protocol Fuzzer that we will want to use.
LiDan456/MAD-GANs
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
patrickrchao/JailbreakingLLMs
ymirsky/Kitsune-py
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
google/gonids
gonids is a library to parse IDS rules, with a focus primarily on Suricata rule compatibility. There is a discussion forum available that you can join on Google Groups: https://groups.google.com/forum/#!topic/gonids/
arunppsg/TadGAN
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
RICommunity/TAP
TAP: An automated jailbreaking method for black-box LLMs
dreadnode/parley
Tree of Attacks (TAP) Jailbreaking Implementation
theralfbrown/smod-1
MODBUS Penetration Testing Framework
ait-aecid/logdata-anomaly-miner
This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.
cfeng783/NSIBF
Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
Francois-Aubet/gluon-ts
Probabilistic time series modeling in Python
romainallain/mas
MAS - Modbus Attack Scripts
sfl0r3nz05/OT-NWbasedOnGNS3
Project created to practice SDN-based Attack & Defence on Modbus/TCP and HTTP protocols in an ICS network.
linuxacademy/content-comptia-casp
505, John Marx, 2/24/2020
thiagoralves/ICS-Security-Tools
Tools, tips, tricks, and more for exploring ICS Security.
sweno/Modbus_MitM_Attack
This is a man in the middle attack against the modbus protocol for I developed in conjunction with Chris Parian for my masters program at sacred heart
PegX/Hybroid
This repo is the implementation of our ISC2021 paper
tv-vicomtech/SPARTA_JCCI_NODE
yalvactop/anomaly_detection_in_indestrial_control_systems
anomaly_detection_in_indestrial_control_systems