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psse_code

It includes WLS, WLAV (matlab) and neural network models for power system state estimation.

pulp-dronet

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

pycanvass

pypasad

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

pypownet

A power network simulator with a Reinforcement Learning-focused usage.

pythonhacking

learn python; learn python

quadcopter

recoloradv

ReColorAdv attack from "Functional Adversarial Attacks"

redtail

Perception and AI components for autonomous mobile robotics.

reluplexcav2017

relusyn

Modelling the DNNs as MILP.

repo

Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems

rlgc

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

roadsignattack

robnets

[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

robotsim

Simulation framework for collective robotics

robust-malicious-url-detection

Malicious URLs detection methodology using a robust set of features that more resistant to Adversarial Example attacks

robust-mics

GameSec 2020 Code Files

robust_mtd

robust_physical_perturbations

Public release of code for Robust Physical-World Attacks on Deep Learning Visual Classification (Eykholt et al., CVPR 2018)

robustautoencoder

A combination of Autoencoder and Robust PCA

robustness-evaluation

rpg_public_dronet

Code for the paper Dronet: Learning to Fly by Driving

savior

sbs-generation

se-test-framework

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

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.

secml_malware

Extension of SecML library, with attacks against Windows malware detectors

secureaircraftlocationverification

This repository is used to record the experimental codes of papers.