Youqian Zhang (The Hong Kong Polytechnic University), Zheng Fang (The Hong Kong Polytechnic University), Huan Wu (The Hong Kong Polytechnic University & Technological and Higher Education Institute of Hong Kong), Sze Yiu Chau (The Chinese University of Hong Kong), Chao Lu (The Hong Kong Polytechnic University), Xiapu Luo (The Hong Kong Polytechnic University)

Optical fibers are widely regarded as reliable communication channels due to their resistance to external interference and low signal loss.
This paper demonstrates a critical side channel within telecommunication optical fiber that allows for acoustic eavesdropping. By exploiting the sensitivity of optical fibers to acoustic vibrations, attackers can remotely monitor sound-induced deformations in the fiber structure and further recover information from the original sound waves.

This issue becomes particularly concerning with the proliferation of Fiber-to-the-Home (FTTH) installations in modern buildings. Attackers with access to one end of an optical fiber can use commercially available Distributed Acoustic Sensing (DAS) systems to tap into the private environment surrounding the other end. However, because the optical fiber alone is not sensitive enough to airborne sound, we introduce a ``Sensory Receptor'' that improves acoustic capture. Our results demonstrate the ability to recover critical information, such as human activities, indoor localization, and conversation contents, raising important privacy concerns for fiber-optic communication networks.

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Cease at the Ultimate Goodness: Towards Efficient Website Fingerprinting...

Rong Wang (Southeast University), Zhen Ling (Southeast University), Guangchi Liu (Southeast University), Shaofeng Li (Southeast University), Junzhou Luo (Southeast University), Xinwen Fu (University of Massachusetts Lowell)

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ACE: A Security Architecture for LLM-Integrated App Systems

Evan Li (Northeastern University), Tushin Mallick (Northeastern University), Evan Rose (Northeastern University), William Robertson (Northeastern University), Alina Oprea (Northeastern University), Cristina Nita-Rotaru (Northeastern University)

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PrivCode: When Code Generation Meets Differential Privacy

Zheng Liu (University of Virginia), Chen Gong (University of Virginia), Terry Yue Zhuo (Monash University and CSIRO's Data61), Kecen Li (University of Virginia), Weichen Yu (Carnegie Mellon University), Matt Fredrikson (Carnegie Mellon University), Tianhao Wang (University of Virginia)

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