With friends like these....

By E. Shepherd. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Social Sciences & Humanities

Citations in the corpus

Adversarial Examples Are Not Bugs, They Are Features (2019, background): “More recently, Jetley, Lord, and Torr [JLT18] discover input patterns that are meaningless to humans and can induce misclassification, while at the same time being essential for standard classification.”
Social Media Use for News and Individuals' Social Capital, Civic Engagement and Political Participation (2012, background): “…to society by allowing people to become informed, find common causes and participate in public life more often (e.g., Bennett, 2008), or do they foster shallower relationships, distract people from public affairs and deepen their political and civic disengagement (e.g., Hodgkinson, 2008)?”
Best-fit Alliance Partners: The Use of Critical Success Factors in a Comprehensive Partner Selection Process (2012, background): “For example, just as a focal firm may seek to undercut a rival’s strategies and market positions by establishing alliances with one or more of its competitors, customers or suppliers, it may also try to undercut its own competitors with direct allianceblocking strategies (Yoffie and Kwak, 2006).”
Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology (2014, background): “…of friends you connect to by copying addresses and phone numbers; the platform also had to defend its automatic assumption that the parents of teenagers using the service have given permission for their names and images to be used in Facebook advertising (Oremus 2013; Goel and Wyatt 2013).”
A Survey On Universal Adversarial Attack (2021, methodology): “Based on this understanding from the geometric perspective, the analysis in [Jetley et al., 2018] has found that the predictive power and adversarial vulnerability of the studied deep classifier are intertwined, suggesting any gain in robustness must come at the cost of accuracy.”