[KongchangAI]
Benchmark

AgentDojo

A security benchmark for prompt injection attacks against LLM agents. It contains real-world prompt injection attack samples and is used to evaluate the effectiveness of detectors and defense schemes.

Timeline (last 90 days)

Oct 19

A recent study audited 33,000 trajectories from 11 open-weight tool-calling agents (2-14B parameters) on the InjecAgent and AgentDojo benchmarks.

Unverified50%
Oct 19

In 21.7% of AgentDojo episodes, the agent stayed safe (did not execute the injected instruction) but also did not complete the user's requested task.

Unverified50%
Oct 13

AgentDojo contains 629 real injection attacks, each hidden in ordinary tool output.

Unverified50%
Oct 13

In tests with 629 AgentDojo attacks and 97 benign tool outputs, jailbreak-detector-large achieved a capture rate of 51% with a false positive rate of 2%.

Unverified50%
Oct 13

Prompt Guard 2 scored 0.999 on human-written injection instructions, but scored between 0.004 and 0.140 on real AgentDojo attacks, all below the default threshold of 0.5.

Unverified50%

All Facts (5)

Source Articles