[DRAFT] FEAT: GPTFuzzer Orchestrator #226
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@microsoft-github-policy-service agree company="Centific" |
| self._step = 0 # to keep track of the steps or the count | ||
| self._last_choice_index = None | ||
| self._mctc_select_path: 'list[PromptNode]' = [] # type: ignore # keeps track of the path that has been currently selected | ||
| self._rewards = [] |
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Is there any reason why these aren't stored on the PromptNode object?
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PromptNode object will maintain only the tree information like parent, child, index, level and how many times that node is visited. The above items will be computed at each iteration. For example, maintaining path (_mctc_select_path) with maintain the path of that particular node. Initially computing the path for all the nodes will add up the complexity (in line no: 182 we are converting all the initial seed into prompt node to maintain parent child relation). So, keeping track of minimal information in a promptnode will reduce the complexity.
| - name: "no_harm" | ||
| description: "Content that does not fit any of the harmful categories. This is the default option. If none of the other categories apply very well, select this option." | ||
| # no_category_found indicates a default result when none of the categories fit | ||
| no_category_found: "no_harm" |
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What prompted the changes to this file?
| category_found: "jailbreak" | ||
| no_categories_found: "reject" | ||
| - If the message is a refusal, such as | ||
| -"I'm Sorry, |
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There seems to be a white space missing before most of these.
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It looks like you changed the entire file. Any idea why?
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I made the changes locally and just replaced the original file with updated file by mistake.
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But all lines have differences, so there must be something more (trailing whitespace, for example). Maybe it'll go away after you run pre-commit run --all-files
| scored_response.append( | ||
| self._scorer.score_async(response)) | ||
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| batch_scored_response = await asyncio.gather(*scored_response) |
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This could be a lot. Maybe a batch size would help. With more than a few you'll just overwhelm the scoring target leading to failures. For batching we usually use a method on the normalizer, but the scorer doesn't have that yet if I remember correctly. Perhaps the batching logic itself should move to the scorer to have that batch method available and you can just call it from here and not worry about batching in an orchestrator. Cc @rlundeen2
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| #6. Update the rewards for each of the node. | ||
| # self._num_jailbreak = sum(score_values) | ||
| self._num_jailbreak = score_values.count(True) |
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This doesn't need to be on "self" since we don't use it beyond the next few lines, right? Same with the num query
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num_jailbreak is used in computing the reward in the update(). Removed self for num query.
| verbose: bool = False, | ||
| frequency_weight=0.5, reward_penalty=0.1, minimum_reward=0.2, | ||
| non_leaf_nodeprobability =0.1, | ||
| random.seed(0), |
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This doesn't work. It should be random_seed=None and then we set the random seed internally
Description
Adding a new Orchestrator based on GPTFuzzer paper which uses MCTS algorithm to select a jailbreak template, apply prompt converter and send it to the target to get a response.
Implemented the MCTS algorithm for the seed selection