Abdulmajeed Alqhatani, Heather R. Lipford (University of North Carolina at Charlotte)

Users of wearable fitness devices share different pieces of information with a variety of recipients to support their health and fitness goals. Device platforms could ease this sharing and empower users to protect their information by providing controls and features centered around these common sharing goals. However, there is little research that examines existing mechanisms for sharing and privacy management, and what needs users have beyond their current controls. In this paper, we analyze five popular wearable device platforms to develop taxonomies of mechanisms based on common sharing patterns and boundaries, as well as data collection awareness. With this analysis, we identify design opportunities for supporting users’ sharing and privacy needs.

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SpecTaint: Speculative Taint Analysis for Discovering Spectre Gadgets

Zhenxiao Qi (UC Riverside), Qian Feng (Baidu USA), Yueqiang Cheng (NIO Security Research), Mengjia Yan (MIT), Peng Li (ByteDance), Heng Yin (UC Riverside), Tao Wei (Ant Group)

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PhantomCache: Obfuscating Cache Conflicts with Localized Randomization

Qinhan Tan (Zhejiang University), Zhihua Zeng (Zhejiang University), Kai Bu (Zhejiang University), Kui Ren (Zhejiang University)

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Does This App Respect My Privacy? Design and Evaluation...

Oksana Kulyk (Karlsruhe Institute of Technology); Paul Gerber, Karola Marky, Christopher Beckmann (Technische Universität Darmstadt); Melanie Volkamer (Karlsruhe Institute of Technology)

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