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Enhancing resilience of deep learning networks by means of transferable adversaries

, , and . 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, (July 2020)

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Deep learning as a competitive feature-free approach for automated algorithm selection on the traveling salesperson problem, , , , and . Parallel Problem Solving from Nature -- PPSN XVI, Springer International Publishing, Cham, (2020)Enhancing resilience of deep learning networks by means of transferable adversaries, , and . 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, (July 2020)On the potential of normalized TSP features for automated algorithm selection, , , , , and . Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, New York, NY, USA, ACM, (September 2021)Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems, , and . (2024)Towards feature-free automated algorithm selection for single-objective continuous black-box optimization, , , and . 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, (December 2021)Automated algorithm selection in single-objective continuous optimization: A comparative study of deep learning and landscape analysis methods, , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes, , , and . Proceedings of the Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (July 2022)