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Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
O'Reilly, Una-May; Toutouh-el-Alamin, Jamal; Pertierra, Marcos; Prado, Daniel; Garcia, Dennis; Erb Luogo, Anthony; Kelly, Jonathan; Hemberg, Erik[et al.] (Springer, 2020-04)
Cyber security adversaries and engagements are ubiquitous and ceaseless. We delineate Adversarial Genetic Programming for Cyber Security, a research topic that, by means of genetic programming (GP), replicates and studies ... -
Coevolutionary generative adversarial networks for medical image augumentation at scale
Flores, Diana; Toutouh-el-Alamin, Jamal; Hemberg, Erik; O’Reilly, Una-May (2022-07-08)
Medical image processing can lack images for diagnosis. Generative Adversarial Networks (GANs) provide a method to train generative models for data augmentation. Synthesized images can be used to improve the robustness of ... -
Spatial evolutionary generative adversarial networks.
Toutouh-el-Alamin, Jamal; Hemberg, Erik; O'Reilly, Una-May (ACM, 2019-07-13)
Generative adversary networks (GANs) suffer from training pathologies such as instability and mode collapse. These pathologies mainly arise from a lack of diversity in their adversarial interactions. Evolutionary generative ...