Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions

Tahmid Hasan Prato, Seijoon Kim, Lizhong Chen +1

Deep neural networks are not resilient to parameter corruptions: even a single-bitwise error in their parameters in memory can cause an accuracy drop of over 10%, and in the worst…