LLM security and privacy
Cross-referenced across 55 tracked directories
#3901
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
8/30/2023
Created
54
GitHub Stars
Score: 100/100
0 dependency vulnerabilities found
Run an AI-powered security scan to analyze this package's source code for vulnerabilities, prompt injection vectors, data exfiltration risks, and behavior mismatches.
Scans fetch actual source code from the GitHub repository, not just the README.
knowledge base of adversary tactics and techniques based on real-world attack observations and realistic demonstrations from AI red teams and security groups, modeled after the MITRE ATT&CK® framework.
...more"key attack vectors that threat actors can exploit to compromise or manipulate LLMs".
From Prompt Injection to C2 with Claude Computer Use
the Open Worldwide Application Security Project's list related to LLMs [[Youtube video]](https://www.youtube.com/watch?v=engR9tYSsug)
...more6
Forks
1
Open Issues
10/15/2024
Last Commit
Recently added to the ecosystem