Jacob Hopkins (Texas A&M University - Corpus Christi), Carlos Rubio-Medrano (Texas A&M University - Corpus Christi), Cori Faklaris (University of North Carolina at Charlotte)

Data is a critical resource for technologies such as Large Language Models (LLMs) that are driving significant economic gains. Due to its importance, many different organizations are collecting and analyzing as much data as possible to secure their growth and relevance, leading to non-trivial privacy risks. Among the areas with potential for increased privacy risks are voluntary data-sharing events, when individuals willingly exchange their personal data for some service or item. This often places them in positions where they have inadequate control over what data should be exchanged and how it should be used. To address this power imbalance, we aim to obtain, analyze, and dissect the many different behaviors and needs of both parties involved in such negotiations, namely, the data subjects, i.e., the individuals whose data is being exchanged, and the data requesters, i.e., those who want to acquire the data. As an initial step, we are developing a multi-stage user study to better understand the factors that govern the behavior of both data subjects and requesters while interacting in data exchange negotiations. In addition, we aim to identify the design elements that both parties require so that future privacy-enhancing technologies (PETs) prioritizing privacy negotiation algorithms can be further developed and deployed in practice.

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Victim-Centred Abuse Investigations and Defenses for Social Media Platforms

Zaid Hakami (Florida International University and Jazan University), Ashfaq Ali Shafin (Florida International University), Peter J. Clarke (Florida International University), Niki Pissinou (Florida International University), and Bogdan Carbunar (Florida International University)

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Kronos: A Secure and Generic Sharding Blockchain Consensus with...

Yizhong Liu (Beihang University), Andi Liu (Beihang University), Yuan Lu (Institute of Software Chinese Academy of Sciences), Zhuocheng Pan (Beihang University), Yinuo Li (Xi’an Jiaotong University), Jianwei Liu (Beihang University), Song Bian (Beihang University), Mauro Conti (University of Padua)

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Power to the Data Defenders: Human-Centered Disclosure Risk Calibration...

Kaustav Bhattacharjee, Aritra Dasgupta (New Jersey Institute of Technology)

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