Nick Ceccio, Naman Gupta, Majed Almansoori, Rahul Chatterjee (University of Wisconsin-Madison)

Intimate partner violence (IPV) is a prevalent societal issue that affects many people globally. Unfortunately, abusers rely on technology to spy on their partners. Prior works show that victims and advocates fail to combat and prevent technology-enabled stalking due to their limited technical background. However, not much is known about this issue; why do victims and advocates struggle to combat technology-enabled stalking despite the ease of finding resources online? To answer this question, we aim to conduct a mixed-method study to explore smartphone usage patterns and internet search behavior while detecting and preventing technology-enabled abuse. In this future work, we plan to conduct a mixed-method between-group study to investigate the smartphone usage patterns and internet search behavior of participants helping their friend combat technology-enabled spying. We expect the tech-savvy participants to be more effective and time-efficient in finding and disabling stalking methods than non-tech-savvy participants.

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Private Certifier Intersection

Bishakh Chandra Ghosh (Indian Institute of Technology Kharagpur), Sikhar Patranabis (IBM Research - India), Dhinakaran Vinayagamurthy (IBM Research - India), Venkatraman Ramakrishna (IBM Research - India), Krishnasuri Narayanam (IBM Research - India), Sandip Chakraborty (Indian Institute of Technology Kharagpur)

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Fusion: Efficient and Secure Inference Resilient to Malicious Servers

Caiqin Dong (Jinan University), Jian Weng (Jinan University), Jia-Nan Liu (Jinan University), Yue Zhang (Jinan University), Yao Tong (Guangzhou Fongwell Data Limited Company), Anjia Yang (Jinan University), Yudan Cheng (Jinan University), Shun Hu (Jinan University)

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FCGAT: Interpretable Malware Classification Method using Function Call Graph...

Minami Someya (Institute of Information Security), Yuhei Otsubo (National Police Academy), Akira Otsuka (Institute of Information Security)

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Evaluating LLMs Towards Automated Assessment of Privacy Policy Understandability

Keika Mori (Deloitte Tohmatsu Cyber LLC, Waseda University), Daiki Ito (Deloitte Tohmatsu Cyber LLC), Takumi Fukunaga (Deloitte Tohmatsu Cyber LLC), Takuya Watanabe (Deloitte Tohmatsu Cyber LLC), Yuta Takata (Deloitte Tohmatsu Cyber LLC), Masaki Kamizono (Deloitte Tohmatsu Cyber LLC), Tatsuya Mori (Waseda University, NICT, RIKEN AIP)

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