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ctf

Alibaba-AAIG /alibaba-ctf Alibaba CTF Benchmark Alibaba CTF Benchmark is a CTF benchmark designed to measure the frontier of agent work on Capture The Flag security challenges. It consists of 87 high-quality tasks curated from the 2023–2026 AlibabaCTF (formerly AliyunCTF) competition series, covering five core categories: Web (25), Pwn (19), Misc (14), Reverse (16), and Crypto (13). During the curation process, LLM-based challenges were excluded due to their additional credential requirements and test… See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-AAIG/alibaba-ctf.n<1K1 likes3.5k downloads1d agoHugging Faceown2pwn-fr /ctfhoard-corpus1 likes3k downloads2mo agoHugging Facedisentangled-vla /train_ctf_eeftabular10K<n<100K0 likes1.8k downloads4mo agoHugging Facedisentangled-vla /train_ctftabular10K<n<100K0 likes1.8k downloads4mo agoHugging Facedisentangled-vla /test_ctftabular10K<n<100K0 likes1.7k downloads4mo agoHugging Faceethz-spylab /ctf-satml24 Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Welcome to the dataset of the LLM CTF @ SaTML 2024. You can find a detailed report of the competition here. The task of the attacker was to discover a secret from the start of the chat, hidden by the defending team's system prompt, Python filters, and LLM filters. The models used were gpt-3.5-turbo-1106 and llama-2-70b-chat. The dataset contains three splits: teams: mapping between team names and the… See the full description on the dataset page: https://huggingface.co/datasets/ethz-spylab/ctf-satml24.text100K<n<1M26 likes602 downloads2y agoHugging Face