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It includes WLS, WLAV (matlab) and neural network models for power system state estimation.
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
This is a python implementation of the original work in the paper 'Truth will out', Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems. Original Matlab implementation available at https://github.com/mikeliturbe/pasad
A power network simulator with a Reinforcement Learning-focused usage.
learn python; learn python
ReColorAdv attack from "Functional Adversarial Attacks"
Perception and AI components for autonomous mobile robotics.
Modelling the DNNs as MILP.
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)
RNN based Time-series Anomaly detector model implemented in Pytorch.
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Simulation framework for collective robotics
Malicious URLs detection methodology using a robust set of features that more resistant to Adversarial Example attacks
GameSec 2020 Code Files
Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018)
A combination of Autoencoder and Robust PCA
Code for the paper Dronet: Learning to Fly by Driving
A prototypical implementation for the construction of data sets containing False Data Injection Attacks and evaluating the performance of detecting False Data Injection Attacks using machine learning-based models.
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.
Extension of SecML library, with attacks against Windows malware detectors
This repository is used to record the experimental codes of papers.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.