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20142022
most citedStealing Machine Learning Models via Prediction APIs

733 citations

Showing 2022Show all

5 papers · 1 filter

cs.SI202213 cited

Stop the [Image] Steal: The Role and Dynamics of Visual Content in the 2020 U.S. Election Misinformation Campaign

Hana Matatov, Mor Naaman, Ofra Amir

Images are powerful. Visual information can attract attention, improve persuasion, trigger stronger emotions, and is easy to share and spread. We examine the characteristics of the…

cs.HC202224 cited

Uncovering Visually Impaired Gamers' Preferences for Spatial Awareness Tools Within Video Games

Vishnu Nair, Shao-en Ma, Ricardo E. Gonzalez Penuela +6

Sighted players gain spatial awareness within video games through sight and spatial awareness tools (SATs) such as minimaps. Visually impaired players (VIPs), however, must often r…

cs.CV2022105 cited

Neural 3D Reconstruction in the Wild

Jiaming Sun, Xi Chen, Qianqian Wang +4

We are witnessing an explosion of neural implicit representations in computer vision and graphics. Their applicability has recently expanded beyond tasks such as shape generation a…

cs.CY202211 cited

Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates

Shikun Zhang, Yan Shvartzshnaider, Yuanyuan Feng +2

We present an empirical study exploring how privacy influences the acceptance of vaccination certificate (VC) deployments across different realistic usage scenarios. The study empl…

cs.CY2022125 cited

Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning

A. Feder Cooper, Emanuel Moss, Benjamin Laufer +1

In 1996, Accountability in a Computerized Society [95] issued a clarion call concerning the erosion of accountability in society due to the ubiquitous delegation of consequential f…