Fake or Real: The Impostor Hunt in Texts for Space Operations
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866911071836569600 |
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| author | Kaczmarek, Agata Płudowski, Dawid Wilczyński, Piotr Kotowski, Krzysztof Shendy, Ramez Ntagiou, Evridiki Nalepa, Jakub Janicki, Artur Biecek, Przemysław |
| author_facet | Kaczmarek, Agata Płudowski, Dawid Wilczyński, Piotr Kotowski, Krzysztof Shendy, Ramez Ntagiou, Evridiki Nalepa, Jakub Janicki, Artur Biecek, Przemysław |
| contents | The "Fake or Real" competition hosted on Kaggle (https://www.kaggle.com/competitions/fake-or-real-the-impostor-hunt ) is the second part of a series of follow-up competitions and hackathons related to the "Assurance for Space Domain AI Applications" project funded by the European Space Agency (https://assurance-ai.space-codev.org/ ). The competition idea is based on two real-life AI security threats identified within the project -- data poisoning and overreliance in Large Language Models. The task is to distinguish between the proper output from LLM and the output generated under malicious modification of the LLM. As this problem was not extensively researched, participants are required to develop new techniques to address this issue or adjust already existing ones to this problem's statement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_13508 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Fake or Real: The Impostor Hunt in Texts for Space Operations Kaczmarek, Agata Płudowski, Dawid Wilczyński, Piotr Kotowski, Krzysztof Shendy, Ramez Ntagiou, Evridiki Nalepa, Jakub Janicki, Artur Biecek, Przemysław Machine Learning Cryptography and Security The "Fake or Real" competition hosted on Kaggle (https://www.kaggle.com/competitions/fake-or-real-the-impostor-hunt ) is the second part of a series of follow-up competitions and hackathons related to the "Assurance for Space Domain AI Applications" project funded by the European Space Agency (https://assurance-ai.space-codev.org/ ). The competition idea is based on two real-life AI security threats identified within the project -- data poisoning and overreliance in Large Language Models. The task is to distinguish between the proper output from LLM and the output generated under malicious modification of the LLM. As this problem was not extensively researched, participants are required to develop new techniques to address this issue or adjust already existing ones to this problem's statement. |
| title | Fake or Real: The Impostor Hunt in Texts for Space Operations |
| topic | Machine Learning Cryptography and Security |
| url | https://arxiv.org/abs/2507.13508 |