Attention based few-shot malicious traffic detection system.

计算机网络：自顶向下设计8th(2020)，配套PPT，编程作业，WireShark实验，新增2020Fall Slides。

[ICLR 2026] When it comes to optimizers, it's always better to be safe than sorry

christos

APT Malware Dataset Containing over 3,500 State-Sponsored Malware Samples

A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"

CREME: A toolchain of automatic dataset collection for machine learning in intrusion detection

CREMEv2: A toolchain of automatic dataset collection for machine learning in intrusion detection based on MITRE ATT&CK

ATLAS: A Sequence-based Learning Approach for Attack Investigation

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

a labelled version of the ADFA-LD dataset for HIDS evaluation

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Detecting Spam Emails using CNN

Email Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam

Email Phishing Attempts Detection from the text of email bodies using natural language processing and machine learning

MEGR-APT: A Memory-Efficient APT Hunting System Based on Attack Representation Learning

The repository of the paper "REEF: Representation Encoding Fingerprints for Large Language Models," aims to protect the IP of open-source LLMs.

Phishing URL Dataset collected from IP2Loaction and PhishTank

Phishing dataset prepared for master thesis

Phishing dataset prepared for master thesis

Survey on Data-centric Large Language Models

Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"

《动手学大模型Dive into LLMs》系列编程实践教程

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

From classic NLP to modern LLMs: building language models step by step. 异步图书：《 GPT图解 大模型是怎样构建的》- 这套代码是AI Coder出现之前，自己用纯手工搭建的一套简单有效的NLP经典算法集合。在大语言模型推动的AI Coder兴起之后，很少有机会再创作这么有“手工风”的代码了，不知道这是值得开心还是值得…