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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“So I Sold My Soul“: Effects of Dark Patterns...

Oksana Kulyk (ITU Copenhagen), Willard Rafnsson (IT University of Copenhagen), Ida Marie Borberg, Rene Hougard Pedersen

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BunnyFinder: Finding Incentive Flaws for Ethereum Consensus

Rujia Li (Tsinghua University and State Key Laboratory of Cryptography and Digital Economy Security), Mingfei Zhang (Shandong University), Xueqian Lu (Independent Reseacher), Wenbo Xu (Blockchain Platform Division, Ant Group), Ying Yan (Blockchain Platform Division, Ant Group), Sisi Duan (Tsinghua University, Zhongguancun Laboratory, Shandong Institute of Blockchains and State Key Laboratory of Cryptography and Digital Economy…

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NOD: Uncovering intense attackers’ behavior through Nested Outlier Detection...

Ghazal Abdollahi (University of Utah), Hamid Asadi (University of Utah), Robert Ricci (University of Utah)

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