Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics
Haya Brama,
Lihi Dery,
Tal Grinshpoun
Abstract:The problem of attacks on neural networks through input modification (i.e., adversarial examples) has attracted much attention recently. Being relatively easy to generate and hard to detect, these attacks pose a security breach that many suggested defenses try to mitigate. However, the evaluation of the effect of attacks and defenses commonly relies on traditional classification metrics, without adequate adaptation to adversarial scenarios. Most of these metrics are accuracy-based, and therefore may have a lim… Show more
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