Masoumeh Shafieinejad (Vector Institute), Xi He (Vector Institute and Univesity of Waterloo), Bailey Kacsmar (Amii & University of Alberta)

Privacy is an instance of a social norm formed through legal, technical, and cultural dimensions. Institutions such as regulators, industry, and researchers act as societal agents that both influence and respond to evolving norms. Attempts to promote privacy must account for this complexity and the dynamic interactions among these actors. Privacy enhancing technologies (PETs) are technical solutions that allow for the development of solutions that benefit society, while ensuring the privacy of the individuals whose data is being used. However, despite increased privacy challenges and a corresponding increase in new regulations across the globe, a low adoption rate of PETs persists. In this work, we investigate the factors influencing industry’s decision-making processes around PETs adoption as well as the extent to which privacy regulations inspire such adoption through a qualitative survey study with 22 industry participants from across Canada Informed by the results of our analysis, we make recommendations for industry, researchers, and policymakers on how to support what each of them seeks from the other when attempting to improve digital privacy protections. By advancing our understanding of what challenges the industry faces, we increase the effectiveness of future privacy research that aims to help overcome these issues.

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Janus: Enabling Expressive and Efficient ACLs in High-speed RDMA...

Ziteng Chen (Southeast University), Menghao Zhang (Beihang University), Jiahao Cao (Tsinghua University & Quan Cheng Laboratory), Xuzheng Chen (Zhejiang University), Qiyang Peng (Beihang University), Shicheng Wang (Unaffiliated), Guanyu Li (Unaffiliated), Mingwei Xu (Quan Cheng Laboratory & Tsinghua University & Southeast University)

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Echoes of the Past: Detecting and Analyzing DNS Re-registrations...

Muhammad Muzammil (Stony Brook University), Zafir Ansari (Infoblox), Nick Nikiforakis (Stony Brook University), Darin Johnson (Infoblox)

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Cascading and Proxy Membership Inference Attacks

Yuntao Du (Purdue University), Jiacheng Li (Purdue University), Yuetian Chen (Purdue University), Kaiyuan Zhang (Purdue University), Zhizhen Yuan (Purdue University), Hanshen Xiao (Purdue University and NVIDIA Research), Bruno Ribeiro (Purdue University), Ninghui Li (Purdue University)

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