Automated evaluation of anti-counterfeiting measures

A method performed by one or more computing systems for evaluating the effectiveness of an anti-counterfeiting measure employed for an item, the method comprising:

• accessing one or more evaluation features derived from evaluation items that are assessed as genuine or counterfeit;
• for each evaluation item, applying an evaluation classifier to the one or more evaluation features to generate an indication of whether the anti-counterfeiting measure of the evaluation item is counterfeit, the classifier having been trained using training data that includes one or more training features of training items that are labeled based on whether the anti-counterfeiting measure of the training item is genuine;
• and
• indicating whether the anti-counterfeiting measure is effective based on the number of evaluation items that are assessed as being genuine whose anti-counterfeiting measures are classified as being counterfeit.

One or more computing systems for evaluating the effectiveness of an anti-counterfeiting measure employed for an item, the one or more computing systems comprising:

• one or more computer-readable storage mediums for storing computer-executable instructions for controlling the one or more computing systems to:
• for each of a plurality of evaluation items,
• derive a feature from the evaluation item;
• and
• apply a classifier to the evaluation feature to generate a classification as to whether the anti-counterfeiting measure of the evaluation item is counterfeit, the classifier having been trained using training data that includes, for each training item, a feature derived from that training item and a label indicating whether the anti-counterfeiting measure of the training item is genuine;
• and
• output an indication of whether the anti-counterfeiting measure is effective based on the evaluation items that are assessed as being genuine and whose anti-counterfeiting measures are classified as counterfeit;
• and
• one or more processors for executing the computer-executable instructions stored in the one or more computer-readable storage mediums.

A method performed by one or more computing systems for evaluating the effectiveness of an anti-counterfeiting measure employed for an item, the method comprising:

• for each of a plurality of evaluation items,
• accessing a difference map indicating differences between the evaluation item and a corresponding genuine item, the corresponding genuine item generated based on a machine learning technique that inputs the evaluation item and outputs the corresponding genuine item, the differences relating to the anti-counterfeiting measure;
• determining based on the difference map whether the evaluation item is a counterfeit anti-counterfeiting measure;
• and
• indicating whether the anti-counterfeiting measure is effective based on evaluation items that have counterfeit anti-counterfeiting measures.

A method performed by one or more computing systems for evaluating the effectiveness of an anti-counterfeiting measure employed for an item, the method comprising:

• for each of a plurality of evaluation items,
• accessing one or more features representing the evaluation item and an indication of whether the evaluation item is genuine or counterfeit;
• applying a clustering technique to the evaluation items to generate clusters of evaluation items that are similar;
• and
• indicating whether the anti-counterfeiting measure is effective based on whether both genuine evaluation items and counterfeit evaluation items are in a cluster.