Searched for: subject%3A%22Multi%255C-objective%255C%252Boptimisation%22
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Bartlett, A.J. (author), Liem, C.C.S. (author), Panichella, A. (author)Deep learning (DL) models are known to be highly accurate, yet vulnerable to adversarial examples. While earlier research focused on generating adversarial examples using whitebox strategies, later research focused on black-box strategies, as models often are not accessible to external attackers. Prior studies showed that black-box approaches...conference paper 2023
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Panichella, A. (author)A key idea in many-objective optimization is to approximate the optimal Pareto front using a set of representative non-dominated solutions. The produced solution set should be close to the optimal front (convergence) and well-diversified (diversity). Recent studies have shown that measuring both convergence and diversity depends on the shape (or...conference paper 2022