superred-optimizer-tap
A Tree of Attacks with Pruning (TAP) jailbreak optimizer for the superred red-teaming framework.
TAP treats jailbreaking as a tree search. An attacker LLM proposes candidate prompts, off-topic ones are pruned away, every surviving prompt is sent to the real target, and each prompt/response pair is scored 1–10. The best branches are kept and expanded again, deepening the tree until a prompt scores a full 10 or the maximum depth is reached.
Reference: Mehrotra et al., "Tree of Attacks: Jailbreaking Black-Box LLMs
Automatically," arXiv:2312.02119
(NeurIPS 2024). Official implementation:
RICommunity/TAP (MIT License).
See ASSUMPTIONS.md for the full paper-to-code mapping and every
deliberate departure.
Install
pip install superred-optimizer-tap
Usage
from tap_optimizer import TapOptimizer
# Paper-aligned defaults (branching_factor=1, tree_width=10, tree_depth=10, ...).
optimizer = TapOptimizer()
# Reproduce a specific TAP experiment by setting the target opening string.
optimizer = TapOptimizer(target_str="Sure, here is", tree_depth=8)
Wire it into a Controller like any other superred optimizer — see the
framework's architecture overview and a
target's README (e.g. superred-target-chatbot) for a full Controller.run() example.
License
MIT for this port's code (see LICENSE). The upstream reference
implementation, RICommunity/TAP, is MIT
licensed. This port reimplements the TAP search and prompts against superred's
event model rather than vendoring upstream source files.
1 maintainer
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