Harvesting the low-hanging fruits

Author:

Halawa Hassan1,Beznosov Konstantin1,Boshmaf Yazan2,Coskun Baris3,Ripeanu Matei1,Santos-Neto Elizeu4

Affiliation:

1. University of British Columbia, Vancouver, Canada

2. Qatar Computing Research Institute, Doha, Qatar

3. Yahoo! Research

4. Google, Inc., Zürich, Switzerland

Publisher

ACM

Reference94 articles.

1. PhishMe. http://phishme.com/. Accessed: 2016-07-06. PhishMe. http://phishme.com/. Accessed: 2016-07-06.

2. Users are not the enemy

3. SoK: The Evolution of Sybil Defense via Social Networks

4. J. Angwin J. Larson S. Mattu and L. Kirchner. Machine bias risk assessments in criminal sentencing. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing 2016. {Online; accessed 31-October-2016}. J. Angwin J. Larson S. Mattu and L. Kirchner. Machine bias risk assessments in criminal sentencing. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing 2016. {Online; accessed 31-October-2016}.

5. Data and algorithmic bias in the web

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