{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/TurboFuzzLLM","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/09f246a6-548b-4bde-92c1-5d3681fefdf4","json_url":"https://onlylabs.fyi/signals/09f246a6-548b-4bde-92c1-5d3681fefdf4/signal.json","generated_at":"2026-06-11T03:58:51.739754+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/09f246a6-548b-4bde-92c1-5d3681fefdf4","signal_json":"https://onlylabs.fyi/signals/09f246a6-548b-4bde-92c1-5d3681fefdf4/signal.json","source":"https://github.com/amazon-science/TurboFuzzLLM","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/TurboFuzzLLM (Python). 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count","object":"1","text":"amazon-science/TurboFuzzLLM has captured page count 1."},{"subject":"amazon-science/TurboFuzzLLM","predicate":"has readable page count","object":"1","text":"amazon-science/TurboFuzzLLM has readable page count 1."},{"subject":"amazon-science/TurboFuzzLLM","predicate":"has related signal count","object":"6","text":"amazon-science/TurboFuzzLLM has related signal count 6."},{"subject":"amazon-science/TurboFuzzLLM","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"amazon-science/TurboFuzzLLM has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"amazon-science/TurboFuzzLLM","predicate":"has source 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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It should be used responsibly for defensive purposes and developing better safeguards for LLMs. Our primary goal is to advance..."},"evidence_pages":[{"url":"https://github.com/amazon-science/TurboFuzzLLM","final_url":"https://github.com/amazon-science/TurboFuzzLLM","title":"amazon-science/TurboFuzzLLM repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:58:51.739754+00:00","bytes":34586,"raw_path":"0e9efc2e508b64656434913ec550994612972512e275dbb085ace238d039e429.json","content_hash":"5dce38f228d70b182dfc173be8a7f3a7cc4097434d4e0039f34af2c438477e84","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/TurboFuzzLLM Description: TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice Language: Python License: Apache-2.0 Stars: 24 Forks: 2 Open issues: 0 Created: 2025-04-28T17:26:38Z Pushed: 2025-11-24T18:41:17Z Default branch: main Fork: no Archived: no README: TurboFuzzLLM **Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking LLMs in Practice** [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/) [![GitHub](https://img.shields.io/badge/GitHub-Repo-black?logo=github)](https://github.com/amazon-science/TurboFuzzLLM) A state-of-the-art tool for automatic red teaming of Large Language Models (LLMs) that generates effective adversarial prompt templates to identify vulnerabilities and improve AI safety. ⚠️ Responsible Use This tool is designed for improving AI safety through systematic vulnerability testing. It should be used responsibly for defensive purposes and developing better safeguards for LLMs. Our primary goal is to advance..."}],"related_signals":[{"id":"087c32a2-6ad0-4981-9315-11fdd32a0153","url":"https://onlylabs.fyi/signals/087c32a2-6ad0-4981-9315-11fdd32a0153","source_url":"https://github.com/amazon-science/reskill","title":"amazon-science/reskill","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-06-04T02:13:35+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e5701aed-6cd3-48dd-bfa6-ef839031e2e8","url":"https://onlylabs.fyi/signals/e5701aed-6cd3-48dd-bfa6-ef839031e2e8","source_url":"https://github.com/amazon-science/dualkv-flash-attn-for-rl","title":"amazon-science/dualkv-flash-attn-for-rl","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-27T17:38:58+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"8af28f0c-7331-4b08-b517-e18b3555e503","url":"https://onlylabs.fyi/signals/8af28f0c-7331-4b08-b517-e18b3555e503","source_url":"https://github.com/amazon-science/EvoMAS","title":"amazon-science/EvoMAS","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-19T19:23:29+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e3ff8718-7daa-4ebd-a3e6-3d825c538b74","url":"https://onlylabs.fyi/signals/e3ff8718-7daa-4ebd-a3e6-3d825c538b74","source_url":"https://github.com/amazon-science/adaptive-layerwise-perturbation","title":"amazon-science/adaptive-layerwise-perturbation","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-14T17:44:17+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"9afcd328-0124-485c-8ace-9c3ad546e316","url":"https://onlylabs.fyi/signals/9afcd328-0124-485c-8ace-9c3ad546e316","source_url":"https://github.com/amazon-science/temporal-reasoning-dataset","title":"amazon-science/temporal-reasoning-dataset","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-13T13:07:08+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","url":"https://onlylabs.fyi/signals/e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","source_url":"https://github.com/amazon-science/PROF-GRPO","title":"amazon-science/PROF-GRPO","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-12T19:43:55+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"}]}