Detecting adversarial advertisements in the wild

@inproceedings{Sculley2011DetectingAA,
  title={Detecting adversarial advertisements in the wild},
  author={D. Sculley and Matthew Eric Otey and Michael Pohl and Bridget Spitznagel and John D Hainsworth and Yunkai Zhou},
  booktitle={KDD},
  year={2011}
}
In a large online advertising system, adversaries may attempt to profit from the creation of low quality or harmful advertisements. In this paper, we present a large scale data mining effort that detects and blocks such adversarial advertisements for the benefit and safety of our users. Because both false positives and false negatives have high cost, our deployed system uses a tiered strategy combining automated and semi-automated methods to ensure reliable classification. We also employ… CONTINUE READING
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