wumingruiye's Stars
BloodHoundAD/BloodHound
Six Degrees of Domain Admin
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
BloodHoundAD/SharpHound
C# Data Collector for BloodHound
sjtu-marl/malib
A parallel framework for population-based multi-agent reinforcement learning.
BloodHoundAD/BloodHound-Tools
Miscellaneous tools for BloodHound
FortsAndMills/RL-Theory-book
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
martisak/dotnets
Create simple drawings of neural networks using graphviz
Limmen/csle
A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
pucrs-automated-planning/pddl-parser
:snake: Classical Planning in Python
radar-research-lab/MFGLib
A library for mean-field games.
alter-yxw/Anti-jamming-Channel-Allocation-in-UAV-enabled-Edge-Computing-A-Stackelberg-Game-Approach
source code of the paper "Anti-jamming Channel Allocation in UAV-enabled Edge Computing: A Stackelberg Game Approach" published in MSN 2022
nicolas-carolo/adsimulator
A realistic simulator of Active Directory domains
cvxgrp/cptopt
Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
vmayoral/ExploitFlow
A library to produce cybersecurity exploitation routes (exploit flows). Inspired by TensorFlow.
stratosphereips/Ludus
Apply Machine Learning and Game Theory to improve the security of the Turris network of CZ.NIC
Lupovis/DetectingCanaryTokens
A Red Team Script to Detect Canary Tokens and Seed Files
john-cardiff/-cyborg-cage-2
dastapadhir/Hardware-Trojan-Detection-and-Deceptional-Analysis
Hardware Trojan Detection and Deceptional Analysis using Prospect Theory and Hypergame Theory
psjanani/RLAProject
Deep Reinforcement Learning
JuliusRosenbergDE/CumulativeProspectTheory
Simulation of decisions under risk
ammohamedds/CyberBattleSim_agents
dominicdanis/-Multi-Agent-Reinforcement-Learning-with-Prospect-Theory
A Python grid based implementation of Multi-Agent Reinforcement Learning with Prospect Theory
Limmen/TNSM_Learning_IRS_Supplementary
Supplementary material for "Learning Near-Optimal Intrusion Responses Against Dynamic Attackers" by Hammar & Stadler, 2023, IEEE TNSM
abhibp1993/decoy-allocation-problem
GameSec2020 Paper Code.
csc15922354160/Game-analysis-by-MATLAB
use MATLAB to calculate and simulate the game, including Stackelberg game, Evolutionary game.
VincentK05/Reinforcement-Learning-Project-Stackelberg-Competition
zhiyi-chen217/stackelberg_security_games
AyaoDossa/AIMS-Project
This is the numerical analysis of a game theory framework based on a carbon credit system within a public-private partnership is developed, involving Stackelberg and Collaborative games.
ChicForX/stackelberg
unofficial implementation of paper "Strategic Gradient Transmission with Targeted Privacy-Awareness in Model Training: A Stackelberg Game Analysis"
chnhuangyan/ThreePartyGameSimulationPSO