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Tensor Trust

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About

Tensor Trust is an open-source, gamified experiment developed by UC Berkeley researchers. It's designed to investigate the vulnerability of AI to prompt injection attacks. Players participate by either defending their AI accounts with a secret password and defense prompt, or attacking other players' accounts by trying to sweet-talk their way past their AI defenses. The goal is to make the AI say 'access granted'. The platform encourages players to 'Hack their AI. Defend your own.' Submissions are publicly released for research, forming a basis for a prompt injection robustness benchmark. Players can increase their account balance and rise on a leaderboard. The project aims to help build more secure AI systems.

Platform
Web
Task
ai security testing

Features

publicly released research submissions

open-source experiment

public leaderboard

offensive ai prompt creation (attack other accounts)

defensive ai prompt creation

prompt injection vulnerability research

gamified ai security testing

Pricing Plans

Free
Free Plan

Play game

Defend AI accounts

Attack other players' AI

Contribute to AI security research

Leaderboard participation

Job Opportunities

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Social Media

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