🐢 Open-Source Evaluation & Testing for LLMs and ML models
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Updated
Jul 12, 2024 - Python
🐢 Open-Source Evaluation & Testing for LLMs and ML models
AI Ruleness OT SIEM for ICS
安全手册,企业安全实践、攻防与安全研究知识库
ATLAS tactics, techniques, and case studies data
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.
A prompt defence is a multi-layer defence that can be used to protect your applications against prompt injection attacks.
A curated list of useful resources that cover Offensive AI.
RuLES: a benchmark for evaluating rule-following in language models
Evaluation & testing framework for computer vision models
AiShields is an open-source Artificial Intelligence Data Input and Output Sanitizer
Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3
Discover and inventory the SaaS applications used across your organization by intelligently analyzing incoming Gmail emails, providing valuable insights into your SaaS landscape.
A list of backdoor learning resources
👮 Simulate various public and private security scenarios.
A curated list of academic events on AI Security & Privacy
GPT 2 model trained on fake PII to study PII leakage from large language models
Do you want to learn AI Security but don't know where to start ? Take a look at this map.
Performing website vulnerability scanning using OpenAI technologie
Python SDK for IvyCheck
[IJCAI 2024] Imperio is an LLM-powered backdoor attack. It allows the adversary to issue language-guided instructions to control the victim model's prediction for arbitrary targets.
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