Fake or Real: The Impostor Hunt in Texts for Space Operations

Authors: Agata Kaczmarek, Dawid Płudowski, Piotr Wilczyński, Przemysław Biecek, Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa, Artur Janicki, Evridiki Ntagiou
Published: 2025-07-17 | Updated: 2025-07-21

Source: https://arxiv.org/abs/2507.13508

PDF: https://arxiv.org/pdf/2507.13508

AIにより推定されたラベル

データ毒性 偽情報の検出 出力の有害度の算出

※ こちらのラベルはAIによって自動的に追加されました。そのため、正確でないことがあります。
詳細は文献データベースについてをご覧ください。

Abstract

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.