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Tensor Trust

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About

Tensor Trust is an interactive game that allows players to explore the vulnerabilities of AI systems through a prompt injection attack and defense format. Players can hack into other AI accounts while defending their own by crafting precise prompts. The game serves both as a fun experience and as a research project to understand and improve AI reliability by gathering real-world data on AI vulnerabilities. It is an open-source experiment backed by researchers from UC Berkeley, helping to build methods to create more secure AI systems.

Platform
Web
Keywords
researchaigamesecurityprompts
Task
game simulation
Features

interactive ai prompt game

research project for ai security

crowdsourced data collection

attack and defense gameplay

open source initiative

FAQs
What is Tensor Trust?

Tensor Trust is a game that lets you explore AI vulnerabilities through prompt injection.

How does the defense and attack system work?

You can defend by creating a prompt to grant access only to the correct password, and attack by bypassing defenses.

Is my data safe when using Tensor Trust?

Your submissions will be used for research, but you can choose not to enter personal information.

What are prompt injection vulnerabilities?

Prompt injection vulnerabilities occur when an attacker can manipulate an AI's responses through targeted inputs.

Can I participate in Tensor Trust without creating an account?

Creating an account is necessary to participate fully in the game, but it involves sharing data for research.

Pricing Plans
Free
Free Plan

Access to the game

Participation in AI security research

Social Media
discord

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