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08/27/2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Many machine learning problems use data in the tabular domains. Adversar...
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06/02/2019
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning
A membership inference attack (MIA) against a machine learning model ena...
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10/25/2018
Evading classifiers in discrete domains with provable optimality guarantees
Security-critical applications such as malware, fraud, or spam detection...
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06/07/2018
