The paper proposes black-box adversarial attacks on image classifiers as a high-dimensional benchmark for global optimization and compares seven metaheuristics under shared query budgets.
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Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks
The paper proposes black-box adversarial attacks on image classifiers as a high-dimensional benchmark for global optimization and compares seven metaheuristics under shared query budgets.