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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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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Security Advice on Content Filtering and Circumvention for Parents...

Ran Elgedawy (The University of Tennessee, Knoxville), John Sadik (The University of Tennessee, Knoxville), Anuj Gautam (The University of Tennessee, Knoxville), Trinity Bissahoyo (The University of Tennessee, Knoxville), Christopher Childress (The University of Tennessee, Knoxville), Jacob Leonard (The University of Tennessee, Knoxville), Clay Shubert (The University of Tennessee, Knoxville), Scott Ruoti (The University of Tennessee,…

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PyPANDA: Taming the PANDAmonium of Whole System Dynamic Analysis

Luke Craig, Tim Leek (MIT Lincoln Laboratory), Andrew Fasano, Tiemoko Ballo (MIT Lincoln Laboratory, Northeastern University), Brendan Dolan-Gavitt (New York University), William Robertson (Northeastern University)

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Model-Agnostic Defense for Lane Detection against Adversarial Attack

Henry Xu, An Ju, and David Wagner (UC Berkeley) Baidu Security Auto-Driving Security Award Winner ($1000 cash prize)!

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