Training anomaly detectors only on instances least vulnerable to a simulated evasion attack increases recall by up to 27.5% over indiscriminate training in a blood glucose management case study.
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Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs
Training anomaly detectors only on instances least vulnerable to a simulated evasion attack increases recall by up to 27.5% over indiscriminate training in a blood glucose management case study.