Selective Hardening of Critical Neurons in Deep Neural Networks. - Annachiara Ruospo; Gabriele Gavarini; Ilaria Bragaglia; Marcello Traiola; Alberto Bosio; Ernesto Sánchez 001 (DDECS, 2022)

Test, Reliability and Functional Safety Trends for Automotive System-on-Chip. - Francesco Angione; Davide Appello; J. Aribido; Jyotika Athavale; Nicolò Bellarmino; Paolo Bernardi; Riccardo Cantoro; Corrado De Sio; Tommaso Foscale; Gabriele Gavarini; J. Guerrero; Martin Huch; et al. (ETS, 2022)

Open-Set Recognition: an Inexpensive Strategy to Increase DNN Reliability. - Gabriele Gavarini; Diego Stucchi; Annachiara Ruospo; Giacomo Boracchi; Ernesto Sánchez 001 (IOLTS, 2022)

Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections. - Annachiara Ruospo; Gabriele Gavarini; Corrado De Sio; J. Guerrero; Luca Sterpone; Matteo Sonza Reorda; Ernesto Sánchez 001; Riccardo Mariani; J. Aribido; Jyotika Athavale (DATE, 2023)

On the resilience of representative and novel data formats in CNNs. - Gabriele Gavarini; Annachiara Ruospo; Ernesto Sánchez 001 (DFT, 2023)

Uncovering hidden vulnerabilities in CNNs through evolutionary-based Image Test Libraries. - Vittorio Turco; Annachiara Ruospo; Gabriele Gavarini; Ernesto Sánchez 001; Matteo Sonza Reorda (DFT, 2023)

SCI-FI: a Smart, aCcurate and unIntrusive Fault-Injector for Deep Neural Networks. - Gabriele Gavarini; Annachiara Ruospo; Ernesto Sánchez 001 (ETS, 2023)

Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs. - Annachiara Ruospo; Gabriele Gavarini; A. Porsia; Matteo Sonza Reorda; Ernesto Sánchez 001; Riccardo Mariani; J. Aribido; Jyotika Athavale (ETS, 2023)

Evaluation and Mitigation of Faults Affecting Swin Transformers. - Gabriele Gavarini; Annachiara Ruospo; Ernesto Sánchez 001 (IOLTS, 2023)

Special Session: Approximation and Fault Resiliency of DNN Accelerators. - Mohammad Hasan Ahmadilivani; Mario Barbareschi; Salvatore Barone; Alberto Bosio; Masoud Daneshtalab; Salvatore Della Torca; Gabriele Gavarini; Maksim Jenihhin; Jaan Raik; Annachiara Ruospo; Ernesto Sánchez 001; Mahdi Taheri (VTS, 2023)