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.

View More Papers

ReFuzz: Reusing Tests for Processor Fuzzing with Contextual Bandits

Chen Chen (Texas A&M University, USA), Zaiyan Xu (Texas A&M University, USA), Mohamadreza Rostami (Technische Universitat Darmstadt, Germany), David Liu (Texas A&M University, USA), Dileep Kalathil (Texas A&M University, USA), Ahmad-Reza Sadeghi (Technische Universitat Darmstadt, Germany), Jeyavijayan (JV) Rajendran (Texas A&M University, USA)

Read More

ACTS: Attestations of Contents in TLS Sessions

Pierpaolo Della Monica (Sapienza University of Rome), Ivan Visconti (Sapienza University of Rome), Andrea Vitaletti (Sapienza University of Rome), Marco Zecchini (Sapienza University of Rome)

Read More

PhyFuzz: Detecting Sensor Vulnerabilities with Physical Signal Fuzzing

Zhicong Zheng (Zhejiang University), Jinghui Wu (Zhejiang University), Shilin Xiao (Zhejiang University), Yanze Ren (Zhejiang University), Chen Yan (Zhejiang University), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University)

Read More