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Recovers passwords from pixelized screenshots
Source code about machine learning and security.
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Helping Ethical Hackers use LLMs in 50 Lines of Code or less..
OnionScan is a free and open source tool for investigating the Dark Web.
An OSINT tool to search for accounts by username and email in social networks.
Instagram OSINT tool to export and analyse followers | following with their details
An open-source project in Golang to asess different API Security tools and WAF for detection logic and bypasses
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
Go package for easy integration with the API of capsolver captcha solving service to solve recaptcha, hcaptcha, funcaptcha, geetest, cloudflare, and solve any other captchas. Capsolver.
📋 A list of open LLMs available for commercial use.
Easily compute clip embeddings and build a clip retrieval system with them
An open source implementation of CLIP.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Universal and Transferable Attacks on Aligned Language Models
A curation of awesome tools, documents and projects about LLM Security.
A LLM explicitly designed for getting hacked
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Mass-editing thousands of facts into a transformer memory (ICLR 2023)
Generate Diverse Counterfactual Explanations for any machine learning model.
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
List of free GPTs that doesn't require plus subscription
PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML …
🦜🔗 Build context-aware reasoning applications