Derry Pratama's repositories
dji-drone-hijacking
DJI Drone Control Hijacking
poor-mans-llm
Poor Man's LLM Fine Tuning Code
arty-a7-serial-verilog
Arty A7 Serial (UART) Project in Verilog
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
burpgpt
A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities, and enables running traffic-based analysis of any type.
bytecode-viewer
A Java 8+ Jar & Android APK Reverse Engineering Suite (Decompiler, Editor, Debugger & More)
catp
Print the output of a running process
ChatGPT-Bypass
Simple scripts that allows you to bypass content filtering in ChatGPT through the API
chatgpt-your-red-team-ally
The notebook for my talk - ChatGPT: Your Red Teaming Ally
CyberMetric
CyberMetric dataset
dabangg
Source code for DABANGG attack.
DankDroneDownloader
A Custom Firmware Download Tool for DJI Drones Written in C#
DroneSecurity
DroneSecurity (NDSS 2023)
hugging-chat-api
HuggingChat Python API🤗
ibndias
Derry Pratama
KnowledgeGraphGPT
Transform plain text into a visually stunning Knowledge Graph with GPT-4 (latest preview)! It converts text into RDF tuples, and highlights the most frequent connections with a vibrant color-coding system. Download the results as a convenient JSON file for easy integration into your own projects.
langchain
⚡ Building applications with LLMs through composability ⚡
llama
Inference code for LLaMA models
llama-dl
High-speed download of LLaMA, Facebook's 65B parameter GPT model
malicious_models
using ML models for red teaming
Mastering-Machine-Learning-for-Penetration-Testing
Mastering Machine Learning for Penetration Testing, published by Packt
outlines
Structured Text Generation
papeer
Scrape the web in the eink era. Convert websites into ebooks and markdown.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
strictjson
A Strict JSON Framework for LLM Outputs