A preference-based adversarial attack generates hard multi-objective instances, and dynamic preference-augmented adversarial training improves neural solvers' out-of-distribution robustness.
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Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
A preference-based adversarial attack generates hard multi-objective instances, and dynamic preference-augmented adversarial training improves neural solvers' out-of-distribution robustness.