Evaluation of Histogram of Oriented Gradients Soft Errors Criticality for Automotive Applications. - Fernando Fernandes 001; Lucas Weigel; Cláudio R. Jung; Philippe O. A. Navaux; Luigi Carro; Paolo Rech (ACM Trans. Archit. Code Optim., 2016)

Kernel vulnerability factor and efficient hardening for histogram of oriented gradients. - Lucas Weigel; Fernando Fernandes 001; Philippe O. A. Navaux; Paolo Rech (DFT, 2017)

Evaluation and Mitigation of Soft-Errors in Neural Network-Based Object Detection in Three GPU Architectures. - Fernando Fernandes dos Santos; Lucas Draghetti; Lucas Weigel; Luigi Carro; Philippe O. A. Navaux; Paolo Rech (DSN Workshops, 2017)

Radiation-Induced Error Criticality in Modern HPC Parallel Accelerators. - Daniel Alfonso Gonçalves de Oliveira; Laércio Lima Pilla; Mauricio Hanzich; Vinicius Fratin; Fernando Fernandes 001; Caio B. Lunardi; José María Cela; Philippe Olivier Alexandre Navaux; Luigi Carro; Paolo Rech (HPCA, 2017)

Analyzing the criticality of transient faults-induced SDCS on GPU applications. - Fernando Fernandes dos Santos; Paolo Rech (ScalA@SC, 2017)

Performance and energy efficiency analysis of HPC physics simulation applications in a cluster of ARM processors. - Jean Luca Bez; Eliezer E. Bernart; Fernando Fernandes dos Santos; Lucas Mello Schnorr; Philippe Olivier Alexandre Navaux (Concurr. Comput. Pract. Exp., 2017)

Code-Dependent and Architecture-Dependent Reliability Behaviors. - Vinicius Fratin; Daniel Oliveira 002; Caio B. Lunardi; Fernando Santos 001; Gennaro Severino Rodrigues; Paolo Rech (DSN, 2018)

Special session: How approximate computing impacts verification, test and reliability. - Lukás Sekanina; Zdenek Vasícek; Alberto Bosio; Marcello Traiola; Paolo Rech; Daniel Oliveira 002; Fernando Fernandes 001; Stefano Di Carlo (VTS, 2018)

Impact of Reduced Precision in the Reliability of Deep Neural Networks for Object Detection. - Fernando Fernandes dos Santos; Philippe O. A. Navaux; Luigi Carro; Paolo Rech (ETS, 2019)

Reliability Evaluation of Mixed-Precision Architectures. - Fernando Fernandes dos Santos; Caio B. Lunardi; Daniel Oliveira 002; Fabiano Libano; Paolo Rech (HPCA, 2019)

Detecting Errors in Convolutional Neural Networks Using Inter Frame Spatio-Temporal Correlation. - Lucas Klein Draghetti; Fernando Fernandes dos Santos; Luigi Carro; Paolo Rech (IOLTS, 2019)

Kernel and layer vulnerability factor to evaluate object detection reliability in GPUs. - Fernando Fernandes dos Santos; Luigi Carro; Paolo Rech (IET Comput. Digit. Tech., 2019)

Analyzing and Increasing the Reliability of Convolutional Neural Networks on GPUs. - Fernando Fernandes dos Santos; Pedro Foletto Pimenta; Caio B. Lunardi; Lucas Draghetti; Luigi Carro; David R. Kaeli; Paolo Rech (IEEE Trans. Reliab., 2019)

Thermal Neutrons: a Possible Threat for Supercomputers and Safety Critical Applications. - Daniel Oliveira 002; Sean Blanchard; Nathan DeBardeleben; Fernando Fernandes dos Santos; Gabriel Piscoya Dávila; Philippe O. A. Navaux; Carlo Cazzaniga; Christopher Frost 002; Robert C. Baumann; Paolo Rech (ETS, 2020)

Reduced-Precision DWC for Mixed-Precision GPUs. - Fernando Fernandes dos Santos; Marcelo Brandalero; Pedro Martins Basso; Michael Hübner 001; Luigi Carro; Paolo Rech (IOLTS, 2020)

Revealing GPUs Vulnerabilities by Combining Register-Transfer and Software-Level Fault Injection. - Fernando Fernandes dos Santos; Josie E. Rodriguez Condia; Luigi Carro; Matteo Sonza Reorda; Paolo Rech (DSN, 2021)

Protecting GPU's Microarchitectural Vulnerabilities via Effective Selective Hardening. - Josie E. Rodriguez Condia; Paolo Rech; Fernando Fernandes dos Santos; Luigi Carro; Matteo Sonza Reorda (IOLTS, 2021)

Demystifying GPU Reliability: Comparing and Combining Beam Experiments, Fault Simulation, and Profiling. - Fernando Fernandes dos Santos; Siva Kumar Sastry Hari; Pedro Martins Basso; Luigi Carro; Paolo Rech (IPDPS, 2021)

Combining Architectural Simulation and Software Fault Injection for a Fast and Accurate CNNs Reliability Evaluation on GPUs. - Josie E. Rodriguez Condia; Fernando Fernandes dos Santos; Matteo Sonza Reorda; Paolo Rech (VTS, 2021)

Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs. - Fernando Fernandes dos Santos; Sujit Malde; Carlo Cazzaniga; Christopher Frost 002; Luigi Carro; Paolo Rech (CoRR, 2021)

Thermal neutrons: a possible threat for supercomputer reliability. - Daniel Oliveira 002; Sean Blanchard; Nathan DeBardeleben; Fernando Fernandes dos Santos; Gabriel Piscoya Dávila; Philippe O. A. Navaux; Andrea Favalli; Opale Schappert; Stephen Wender; Carlo Cazzaniga; Christopher Frost 002; Paolo Rech (J. Supercomput., 2021)

Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. - Niccolò Cavagnero; Fernando Fernandes dos Santos; Marco Ciccone; Giuseppe Averta; Tatiana Tommasi; Paolo Rech (IOLTS, 2022)

Experimental evaluation of neutron-induced errors on a multicore RISC-V platform. - Fernando Fernandes dos Santos; Angeliki Kritikakou; Olivier Sentieys (IOLTS, 2022)

Evaluating the Impact of Mixed-Precision on Fault Propagation for Deep Neural Networks on GPUs. - Fernando Fernandes dos Santos; Paolo Rech; Angeliki Kritikakou; Olivier Sentieys (ISVLSI, 2022)

A Multi-level Approach to Evaluate the Impact of GPU Permanent Faults on CNN's Reliability. - Josie E. Rodriguez Condia; Juan-David Guerrero-Balaguera; Fernando Fernandes dos Santos; Matteo Sonza Reorda; Paolo Rech (ITC, 2022)

Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. - Niccolò Cavagnero; Fernando Fernandes dos Santos; Marco Ciccone; Giuseppe Averta; Tatiana Tommasi; Paolo Rech (CoRR, 2022)

Characterizing a Neutron-Induced Fault Model for Deep Neural Networks. - Fernando Fernandes dos Santos; Angeliki Kritikakou; Josie Esteban Rodriguez Condia; Juan-David Guerrero-Balaguera; Matteo Sonza Reorda; Olivier Sentieys; Paolo Rech (CoRR, 2022)

Reduced Precision DWC: An Efficient Hardening Strategy for Mixed-Precision Architectures. - Fernando Fernandes dos Santos; Marcelo Brandalero; Michael B. Sullivan 001; Pedro Martins Basso; Michael Hübner 001; Luigi Carro; Paolo Rech (IEEE Trans. Computers, 2022)

Convolutional neural network errors. - Fernando Fernandes dos Santos (IEEE DataPort, 2022)

Understanding and Improving GPUs' Reliability Combining Beam Experiments with Fault Simulation. - Fernando Fernandes dos Santos; Luigi Carro; Paolo Rech (ETS, 2023)

Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units. - Juan-David Guerrero-Balaguera; Josie Esteban Rodriguez Condia; Fernando Fernandes dos Santos; Matteo Sonza Reorda; Paolo Rech (SC, 2023)

Cross-Layer Reliability Evaluation and Efficient Hardening of Large Vision Transformers Models. - Lucas Roquet; Fernando Fernandes dos Santos; Paolo Rech; Marcello Traiola; Olivier Sentieys; Angeliki Kritikakou (DAC, 2024)

Reliability and Security of AI Hardware. - Dennis Gnad; Martin Gotthard; Jonas Krautter; Angeliki Kritikakou; Vincent Meyers; Paolo Rech; Josie E. Rodriguez Condia; Annachiara Ruospo; Ernesto Sánchez 001; Fernando Fernandes dos Santos; Olivier Sentieys; Mehdi B. Tahoori; et al. (ETS, 2024)

Combining Fault Simulation and Beam Data for CNN Error Rate Estimation on RISC-V Commercial Platforms. - Fernando Fernandes dos Santos; Marcello Traiola; Angeliki Kritikakou (IOLTS, 2024)

Reliability Assessment of Large DNN Models: Trading Off Performance and Accuracy. - Junchao Chen 001; Giuseppe Esposito; Fernando Fernandes dos Santos; Juan-David Guerrero-Balaguera; Angeliki Kritikakou; Milos Krstic; Robert Limas Sierra; Josie E. Rodriguez Condia; Matteo Sonza Reorda; Marcello Traiola; Alessandro Veronesi (VLSI-SoC, 2024)

Special Session: Reliability Assessment Recipes for DNN Accelerators. - Mohammad Hasan Ahmadilivani; Alberto Bosio; Bastien Deveautour; Fernando Fernandes dos Santos; Juan-David Guerrero-Balaguera; Maksim Jenihhin; Angeliki Kritikakou; Robert Limas Sierra; Salvatore Pappalardo; Jaan Raik; Josie E. Rodriguez Condia; Matteo Sonza Reorda; et al. (VTS, 2024)

Transient Fault Tolerant Semantic Segmentation for Autonomous Driving. - Leonardo Iurada; Niccolò Cavagnero; Fernando Fernandes dos Santos; Giuseppe Averta; Paolo Rech; Tatiana Tommasi (CoRR, 2024)

Assessing the Impact of Compiler Optimizations on GPUs Reliability. - Fernando Fernandes dos Santos; Luigi Carro; Flavio Vella; Paolo Rech (ACM Trans. Archit. Code Optim., 2024)

Can GPU performance increase faster than the code error rate? - Fernando Fernandes dos Santos; Paolo Rech (J. Supercomput., 2024)

Challenges in Assessing and Improving Deep Neural Networks' Reliability. - Fernando Fernandes dos Santos; Paolo Rech (IEEE Des. Test, 2025)