Apolline Zehner (Universite libre de Bruxelles), Iness Ben Guirat (Universite libre de Bruxelles), Jan Tobias Muhlberg (Universite libre de Bruxelles)

Wireless devices, especially Bluetooth and Wi-Fi devices, emit radio communication both to scan for neighboring devices and to advertise themselves. For example, a mobile phone would typically be searching for Wi-Fi access points and Bluetooth devices, e.g., headsets, and advertise itself for connections. For this purpose, communication interfaces use a Medium Access Control (MAC) address which is a unique identifier to differentiate one device from another. However, the use of such unique identifiers can violate the privacy of the device and hence of the user; an attacker is able to use such unique identifiers in order to passively track a device. MAC address randomization – techniques that periodically change the MAC addresses of a device – were developed as a privacy-enhancing measure against such attacks. However research shows that this can be easily circumvented. In this paper, we survey approaches and techniques for metadata anonymization in Bluetooth and Wi-Fi, as well as the de-anonymization attacks. Many of these attacks rely on physical characteristics of the communication medium and on implementation flaws of both wireless protocols and MAC address randomization protocols. We conclude by discussing open challenges both in metadata protection and deanonymization.

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DLBox: New Model Training Framework for Protecting Training Data

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National University), Byoungyoung Lee (Seoul National 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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On the Robustness of LDP Protocols for Numerical Attributes...

Xiaoguang Li (Xidian University, Purdue University), Zitao Li (Alibaba Group (U.S.) Inc.), Ninghui Li (Purdue University), Wenhai Sun (Purdue University, West Lafayette, USA)

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Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei (Northeastern University)

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