 NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural
Network Inference in Low-Voltage RegimesNeural Information Processing Systems (NeurIPS), 2023 |
 Efficiency-driven Hardware Optimization for Adversarially Robust Neural
NetworksDesign, Automation and Test in Europe (DATE), 2021 |
 Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure
DNN AcceleratorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 |
 ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of
Capsule Networks under ApproximationsDesign, Automation and Test in Europe (DATE), 2019 |
