Stars
This project uses Denoising Diffusion Probabilistic Models (DDPM) to generate synthetic medical images for augmenting limited datasets. DDPM learns to create realistic images by reversing a noise p…
Using diffusion models to generate synthetic data and then perform data augmentation.
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
A Model Context Protocol server for Excel file manipulation
This repo contains all the codes and data for 'Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach'
Code and Models for "Evolving LLMs Through Text-Based Self-Play: Achieving Emergent Performance", an AI research paper from Eric Martin
Self-playing Adversarial Language Game Enhances LLM Reasoning, NeurIPS 2024
Project on Moving Target Defense Framework against DDOS Attacks in SDN
A Moving Target Defense Framework for Internet of Things
Morphence: An implementation of a moving target defense against adversarial example attacks demonstrated for image classification models trained on MNIST and CIFAR-10.
PyTorch implementation of Memory Augmented Self-Play
: An LLM Approach for Open-Set Encrypted Traffic Classification
A curated list of awesome DevOps platforms, tools, practices and resources
Efficient LSH-based kernel density estimation
A Library for Advanced DL-based Website Fingerprinting Attacks.
用户埋点行为日志分析平台,项目主要用于搭建基于Flink、Apache Doris、Redis和MySQL等中间件的用户行为日志收集、存储、分析平台,支持用户自定义查询条件
System Topology Risk analysis on Graphs. Experimental attack propagation risk analysis tool.
linwhitehat / TrafficLLM
Forked from ZGC-LLM-Safety/TrafficLLMThe repository of TrafficLLM, a universal LLM adaptation framework to learn robust traffic representation for all open-sourced LLM in real-world scenarios and enhance the generalization across dive…
This work shows the viability of automatically generated attack graphs that are used for adversary behavior execution in industrial control system environments. This viability is evaluated and conf…