NURSE: A Distributed Architecture for Runtime Fault Management in Processor Designs
Investigating the Impact of Soft Errors in GPU-accelerated Sparse DNNs
Progressive Training of Hybrid Clipped Rectified Linear Unit for Resilient Convolution Neural Networks
FT-Sparse: Algorithm-Based Fault Tolerance for Sparse CNNs Using Structured Sparsity in GPUs
Reliability Assessment of Deep Neural Networks and Accelerators Across Design Stages
European Test Symposium Teams: an Anniversary Snapshot
ETS 2025 Foreword
FORTALESA: Fault-tolerant reconfigurable systolic array for DNN inference
AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators
RL-Agent-based Early-Exit DNN Architecture Search Framework
SAFFIRA A Framework for Assessing the Reliability of Systolic-Array DNN Accelerators
SHIELD: PSO-Based Hardware Trojan Detection for Efficient and Low-Cost Defense
GENIE: GENetIc Algorithm-Based REliability Assessment Methodology for Deep Neural Networks
Reliability-Aware Hyperparameter Optimization for ANN-to-SNN Conversion