ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
arXiv:2410.24214v3 Announce Type: replace
Abstract: Mixed precision quantization has become an important technique for optimizing the execution of deep neural networks (DNNs). Certified robustness, which provides provable guarantees about a model’s ab…