Trust4AI / ASTRALLinks
Automated Safety Testing of Large Language Models
☆18Updated last year
Alternatives and similar repositories for ASTRAL
Users that are interested in ASTRAL are comparing it to the libraries listed below
Sorting:
- ☆29Updated 8 months ago
- ☆114Updated 2 months ago
- Whispers in the Machine: Confidentiality in Agentic Systems☆41Updated last month
- Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique☆18Updated last year
- ☆190Updated last month
- An Execution Isolation Architecture for LLM-Based Agentic Systems☆103Updated last year
- CyberGym is a large-scale, high-quality cybersecurity evaluation framework designed to rigorously assess the capabilities of AI agents on…☆108Updated 3 weeks ago
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆184Updated 10 months ago
- The jailbreak-evaluation is an easy-to-use Python package for language model jailbreak evaluation.☆27Updated last year
- A prompt injection game to collect data for robust ML research☆68Updated last year
- LLM security and privacy☆54Updated last year
- ☆18Updated last year
- ☆34Updated last year
- TaskTracker is an approach to detecting task drift in Large Language Models (LLMs) by analysing their internal activations. It provides a…☆79Updated 5 months ago
- Advancing LLM with Diverse Coding Capabilities☆80Updated last year
- CodeSage: Code Representation Learning At Scale (ICLR 2024)☆116Updated last year
- [NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"☆197Updated 9 months ago
- Implementation of BEAST adversarial attack for language models (ICML 2024)☆91Updated last year
- A benchmark for evaluating the robustness of LLMs and defenses to indirect prompt injection attacks.☆103Updated last year
- Papers about red teaming LLMs and Multimodal models.☆159Updated 8 months ago
- ☆114Updated last year
- A novel approach to improve the safety of large language models, enabling them to transition effectively from unsafe to safe state.☆71Updated 8 months ago
- Agent Security Bench (ASB)☆182Updated 3 months ago
- Repo for the research paper "SecAlign: Defending Against Prompt Injection with Preference Optimization"☆83Updated 6 months ago
- This project investigates the security of large language models by performing binary classification of a set of input prompts to discover…☆56Updated 2 years ago
- [NeurIPS'24] RedCode: Risky Code Execution and Generation Benchmark for Code Agents☆64Updated 2 months ago
- The fastest Trust Layer for AI Agents☆152Updated this week
- A repository of Language Model Vulnerabilities and Exposures (LVEs).☆112Updated last year
- The Granite Guardian models are designed to detect risks in prompts and responses.☆130Updated 4 months ago
- CS-Eval is a comprehensive evaluation suite for fundamental cybersecurity models or large language models' cybersecurity ability.☆58Updated last year