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Found 2 papers, 1 papers with code
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
We propose a versatile framework based on random search, Sparse-RS, for score-based sparse targeted and untargeted attacks in the black-box setting.
Clustering and Learning from Imbalanced Data
A learning classifier must outperform a trivial solution, in case of imbalanced data, this condition usually does not hold true.
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