"Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs. (arXiv:2302.03523v1 [cs.CV])" — A method that allows a Deep Neural Network (DNN) to train once and then in-situ trade-off between accuracy and robustness, that too at a reduced compute and parameter overhead.

Paper: http://arxiv.org/abs/2302.03523

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Performance comparison of the p…