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cs.CV2025
IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
Sebastian-Vasile Echim, Andrei-Alexandru Preda, Dumitru-Clementin Cercel +1
Deep neural networks currently dominate many fields of the artificial intelligence landscape, achieving state-of-the-art results on numerous tasks while remaining hard to understan…
cs.CV2025
Scaling Federated Learning Solutions with Kubernetes for Synthesizing Histopathology Images
Andrei-Alexandru Preda, Iulian-Marius TÄiatu, Dumitru-Clementin Cercel
In the field of deep learning, large architectures often obtain the best performance for many tasks, but also require massive datasets. In the histological domain, tissue images ar…