Leona Lassak (Ruhr University Bochum), Hanna Püschel (TU Dortmund University), Oliver D. Reithmaier (Leibniz University Hannover), Tobias Gostomzyk (TU Dortmund University), Markus Dürmuth (Leibniz University Hannover)

In times of big data, connected devices, and increasing self-measurement, protecting consumer privacy remains a challenge despite ongoing technological and legislative efforts. Data trustees present a promising solution, aiming to balance data utilization with privacy concerns by facilitating secure data sharing and ensuring individual control. However, successful implementation hinges on user acceptance and trust.

We conducted a large-scale, vignette-based, census-representative online study examining factors influencing the acceptance of data trustees for medical, automotive, IoT, and online data. With n=714 participants from Germany and n=1036 from the US, our study reveals varied willingness to use data trustees across both countries, with notable skepticism and outright rejection from a significant portion of users.

We also identified significant domain-specific differences, including the influence of user anonymity, perceived personal and societal benefits, and the recipients of the data.

Contrary to common beliefs, organizational and regulatory decisions such as the storage location, the operator, and supervision appeared less relevant to users' decisions.

In conclusion, while there exists a potential user base for data trustees, achieving widespread acceptance will require explicit and targeted implementation strategies tailored to address diverse user expectations. Our findings underscore the importance of understanding these nuances for effectively deploying data trustee frameworks that meet both regulatory requirements and user preferences while upholding highest security and privacy standards.

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Rupam Patir (University at Buffalo), Qiqing Huang (University at Buffalo), Keyan Guo (University at Buffalo), Wanda Guo (Texas A&M University), Guofei Gu (Texas A&M University), Haipeng Cai (University at Buffalo), Hongxin Hu (University at Buffalo)

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Safety Misalignment Against Large Language Models

Yichen Gong (Tsinghua University), Delong Ran (Tsinghua University), Xinlei He (Hong Kong University of Science and Technology (Guangzhou)), Tianshuo Cong (Tsinghua University), Anyu Wang (Tsinghua University), Xiaoyun Wang (Tsinghua University)

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NDSS Symposium 2025 Welcome and Opening Remarks

General Chairs: David Balenson, USC Information Sciences Institute and Heng Yin, University of California, Riverside Program Chairs: Christina Pöpper, New York University Abu Dhabi and Hamed Okhravi, MIT Lincoln Laboratory Artifact Evaluation Chairs: Daniele Cono D’Elia, Sapienza University and Mathy Vanhoef, KU Leuven

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