Michael Lutaaya, Hala Assal, Khadija Baig, Sana Maqsood, Sonia Chiasson (Carleton University)

Digital identities are gaining traction and spurring the interest of governments around the world. In this paper, we explore the concept of digital identity from the user’s perspective, using a digital identity prototype as a prop. To this effect, we conducted a user study with 22 participants to understand their perceptions and expectations of digital identity services.We conducted the study in Canada, where digital identities are not yet widely adopted. Our participants identified some benefits of using digital identity, particularly those relating to the convenience of using a digital format rather than a printed one.However, participants did not recognize the privacy-preserving benefits of using a digital service. They also expressed concerns about the associated privacy risks, particularly around how their data would be handled and the risk of privacy and security breaches. Based on our findings, we provide recommendations for designing digital identity services that are both usable and privacy-protective.

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Konstantinos Solomos (University of Illinois at Chicago), John Kristoff (University of Illinois at Chicago), Chris Kanich (University of Illinois at Chicago), Jason Polakis (University of Illinois at Chicago)

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Victim-Centred Abuse Investigations and Defenses for Social Media Platforms

Zaid Hakami (Florida International University and Jazan University), Ashfaq Ali Shafin (Florida International University), Peter J. Clarke (Florida International University), Niki Pissinou (Florida International University), and Bogdan Carbunar (Florida International University)

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Vikram Sharma Mailthody, James Wei, Nicholas Chen, Mohammad Behnia, Ruihao Yao, Qihao Wang, Vedant Agarwal, Churan He, Lijian Wang, Leihao Chen, Amit Agarwal, Edward Richter, Wen-mei Hwu, and Christopher Fletcher (University of Illinois at Urbana-Champaign); Jinjun Xiong (IBM); Andrew Miller and Sanjay Patel (University of Illinois at Urbana-Champaign)

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Data Poisoning Attacks to Deep Learning Based Recommender Systems

Hai Huang (Tsinghua University), Jiaming Mu (Tsinghua University), Neil Zhenqiang Gong (Duke University), Qi Li (Tsinghua University), Bin Liu (West Virginia University), Mingwei Xu (Tsinghua University)

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