Yue Qin (Indiana University Bloomington & Central University of Finance and Economics), Yue Xiao (Indiana University Bloomington & IBM Research), Xiaojing Liao (Indiana University Bloomington)

In privacy compliance research, a significant challenge lies in comparing specific data items in actual data usage practices with the privacy data defined in laws, regulations, or policies. This task is complex due to the diversity of data items used by various applications, as well as the different interpretations of privacy data across jurisdictions. To address this challenge, privacy data taxonomies have been constructed to capture relationships between privacy data types and granularity levels, facilitating privacy compliance analysis. However, existing taxonomy construction approaches are limited by manual efforts or heuristic rules, hindering their ability to incorporate new terms from diverse domains. In this paper, we present the design of GRASP, a scalable and efficient methodology for automatically constructing and expanding privacy data taxonomies. GRASP incorporates a novel hypernym prediction model based on granularity-aware semantic projection, which outperforms existing state-of-the-art hypernym prediction methods. Additionally, we design and implement Tracy, a privacy professional assistant to recognize and interpret private data in incident reports for GDPR-compliant data breach notification. We evaluate Tracy in a usability study with 15 privacy professionals, yielding high-level usability and satisfaction.

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A Comprehensive Memory Safety Analysis of Bootloaders

Jianqiang Wang (CISPA Helmholtz Center for Information Security), Meng Wang (CISPA Helmholtz Center for Information Security), Qinying Wang (Zhejiang University), Nils Langius (Leibniz Universität Hannover), Li Shi (ETH Zurich), Ali Abbasi (CISPA Helmholtz Center for Information Security), Thorsten Holz (CISPA Helmholtz Center for Information Security)

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Work-in-Progress: Towards Browser-Based Consent Management

Gayatri Priyadarsini Kancherla and Abhishek Bichhawat (Indian Institute of Technology Gandhinagar)

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QMSan: Efficiently Detecting Uninitialized Memory Errors During Fuzzing

Matteo Marini (Sapienza University of Rome), Daniele Cono D'Elia (Sapienza University of Rome), Mathias Payer (EPFL), Leonardo Querzoni (Sapienza University of Rome)

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ICSQuartz: Scan Cycle-Aware and Vendor-Agnostic Fuzzing for Industrial Control...

Corban Villa (New York University Abu Dhabi), Constantine Doumanidis (New York University Abu Dhabi), Hithem Lamri (New York University Abu Dhabi), Prashant Hari Narayan Rajput (InterSystems), Michail Maniatakos (New York University Abu Dhabi)

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