During automated (APR), it can be challeng\x02ing to synthesize correct patches for real-world systems in general-purpose ...
Abstract: Adversarial attacks craft adversarial examples (AEs) to fool convolution neural networks. The mainstream gradient-based attacks, based on first-order optimization methods, encounter ...
Abstract: Solving dynamic optimization problems is always a challenging task. For this purpose, heuristic and metaheuristic methods are the preferred ones, especially in the context of real-time ...
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