perpetualbrighten

2021-Malware-Detection-Classification

Malware detection is an important process in modern computing to help protect various systems from getting infected. The goal for any project, program, or system that aims to detect malware is to prevent any malicious software from running on a user’s computer. With our project, we have aimed to assist in the battle against malicious software by cr

Ace-Air-Combat-Game

Modular flying shooting game based on Python.

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

AI-in-defence

air_combat

A series of air combat game environments packaged according to the gym interface for reinforcement learning.

air_combat_simulation

一个简单的空战模拟，通过python的panda3d实现，支持第一，第三人称切换

Aircraft-Combat

Game developing practice based on Pygame

Attack_classification_models_with_transferability

Attack classification models with transferability, black-box attack; unrestricted adversarial attacks on imagenet, CVPR2021 安全AI挑战者计划第六期：ImageNet无限制对抗攻击 决赛第四名（team name: Advers）

PRE-DDQN

Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection

uav_path_planning

perpetualbrighten/PRE-DDQN

Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection

perpetualbrighten/uav_path_planning

perpetualbrighten/2021-Malware-Detection-Classification

Malware detection is an important process in modern computing to help protect various systems from getting infected. The goal for any project, program, or system that aims to detect malware is to prevent any malicious software from running on a user’s computer. With our project, we have aimed to assist in the battle against malicious software by cr

perpetualbrighten/Ace-Air-Combat-Game

Modular flying shooting game based on Python.

perpetualbrighten/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

perpetualbrighten/AI-in-defence

perpetualbrighten/air_combat

A series of air combat game environments packaged according to the gym interface for reinforcement learning.

perpetualbrighten/air_combat_simulation

一个简单的空战模拟，通过python的panda3d实现，支持第一，第三人称切换

perpetualbrighten/Aircraft-Combat

Game developing practice based on Pygame

perpetualbrighten/Attack_classification_models_with_transferability

Attack classification models with transferability, black-box attack; unrestricted adversarial attacks on imagenet, CVPR2021 安全AI挑战者计划第六期：ImageNet无限制对抗攻击 决赛第四名（team name: Advers）

perpetualbrighten/Auto-PPT

Auto generate pptx using gpt-3.5, Free to use online / 通过gpt-3.5生成PPT,免费在线使用 http://www.limaoyi.top:4399/#

perpetualbrighten/CS175project_AdversarialModel

An AI project implementing adversarial attack and defense techniques.

perpetualbrighten/PathPlanning

Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV

perpetualbrighten/Self-Aligned-Video-Deraining-with-Transmission-Depth-Consistency

Self-Aligned Video Deraining with Transmission-Depth Consistency

perpetualbrighten/UAV-Path-Planning

A Deep Learning Approach to UAV Path Planning

perpetualbrighten/UAVS

Intelligent UAV path planning simulation system is a software with fine operation control, strong platform integration, omnidirectional model building and application automation. It takes the UAV war between A and B in Zone C as the background. The core function of the system is to plan the UAV route through the simulation platform and verify the o

perpetualbrighten/ZOO-Attack

Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models,” ACM CCS Workshop on AI-Security, 2017