Understanding fault tolerance of adversarially robust pruned models
Read the original at arxiv.org→arXiv:2608.04173v1 Announce Type: new Abstract: Deep neural networks (DNNs) deployed on resource-constrained neuromorphic hardware face three concurrent challenges: the need for model compression through pruning,...
Original headline: "Understanding Fault Tolerance of Adversarially Robust Pruned Models"
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- Aug 6, 04:00 UTC arXiv cs.LG lead source Understanding Fault Tolerance of Adversarially Robust Pruned Models