An Open-Source Verification Framework for Open-Source Cores: A RISC-V Case Study. - Pasquale Davide Schiavone; Ernesto Sánchez 001; Annachiara Ruospo; Francesco Minervini; Florian Zaruba; Germain Haugou; Luca Benini (VLSI-SoC, 2018)

Non-Intrusive Self-Test Library for Automotive Critical Applications: Constraints and Solutions. - Paolo Bernardi; Riccardo Cantoro; Andrea Floridia; Davide Piumatti; C. Pogonea; Annachiara Ruospo; Ernesto Sánchez 001; Sergio de Luca; Alessandro Sansonetti (DATE, 2019)

On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification. - Annachiara Ruospo; Riccardo Cantoro; Ernesto Sánchez 001; Pasquale Davide Schiavone; Angelo Garofalo; Luca Benini (DFT, 2019)

A Decentralized Scheduler for On-line Self-test Routines in Multi-core Automotive System-on-Chips. - Andrea Floridia; Davide Piumatti; Annachiara Ruospo; Ernesto Sánchez 001; Sergio de Luca; Rosario Martorana (ITC, 2019)

A Reliability Analysis of a Deep Neural Network. - Alberto Bosio; Paolo Bernardi; Annachiara Ruospo; Ernesto Sánchez 001 (LATS, 2019)

On the Detection of Always-On Hardware Trojans Supported by a Pre-Silicon Verification Methodology. - Annachiara Ruospo; Ernesto Sánchez 001 (MTV, 2019)

Deterministic Cache-based Execution of On-line Self-Test Routines in Multi-core Automotive System-on-Chips. - Andrea Floridia; Tzamn Melendez Carmona; Davide Piumatti; Annachiara Ruospo; Ernesto Sánchez 001; Sergio de Luca; Rosario Martorana; Mose Alessandro Pernice (DATE, 2020)

A Pipelined Multi-Level Fault Injector for Deep Neural Networks. - Annachiara Ruospo; Angelo Balaara; Alberto Bosio; Ernesto Sánchez 001 (DFT, 2020)

Evaluating Convolutional Neural Networks Reliability depending on their Data Representation. - Annachiara Ruospo; Alberto Bosio; Alessandro Ianne; Ernesto Sánchez 001 (DSD, 2020)

Simulation and Formal: The Best of Both Domains for Instruction Set Verification of RISC-V Based Processors. - Ckristian Duran; Hanssel Morales; Camilo Rojas; Annachiara Ruospo; Ernesto Sánchez 001; Elkim Roa (ISCAS, 2020)

Special Session: AutoSoC - A Suite of Open-Source Automotive SoC Benchmarks. - Felipe Augusto da Silva; Ahmet Cagri Bagbaba; Annachiara Ruospo; Riccardo Mariani; Ghani Kanawati; Ernesto Sánchez 001; Matteo Sonza Reorda; Maksim Jenihhin; Said Hamdioui; Christian Sauer 001 (VTS, 2020)

A Benchmark Suite of RT-level Hardware Trojans for Pipelined Microprocessor Cores. - Aleksa Damljanovic; Annachiara Ruospo; Ernesto Sánchez 001; Giovanni Squillero (DDECS, 2021)

A Model-Based Framework to Assess the Reliability of Safety-Critical Applications. - Lucas Matana Luza; Annachiara Ruospo; Alberto Bosio; Ernesto Sánchez 001; Luigi Dilillo (DDECS, 2021)

A Suitability Analysis of Software Based Testing Strategies for the On-line Testing of Artificial Neural Networks Applications in Embedded Devices. - Annachiara Ruospo; Davide Piumatti; Andrea Floridia; Ernesto Sánchez 001 (IOLTS, 2021)

Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks. - Annachiara Ruospo; Lucas Matana Luza; Alberto Bosio; Marcello Traiola; Luigi Dilillo; Ernesto Sánchez 001 (LATS, 2021)

Investigating data representation for efficient and reliable Convolutional Neural Networks. - Annachiara Ruospo; Ernesto Sánchez 001; Marcello Traiola; Ian O'Connor; Alberto Bosio (Microprocess. Microsystems, 2021)

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)

Reliability Assessment Methodologies for ANN-based Systems. - Annachiara Ruospo (LATS, 2022)

Machine learning for hardware security: Classifier-based identification of Trojans in pipelined microprocessors. - Aleksa Damljanovic; Annachiara Ruospo; Ernesto Sánchez 001; Giovanni Squillero (Appl. Soft Comput., 2022)

Emulating the Effects of Radiation-Induced Soft-Errors for the Reliability Assessment of Neural Networks. - Lucas Matana Luza; Annachiara Ruospo; Daniel Söderström; Carlo Cazzaniga; Maria Kastriotou; Ernesto Sánchez 001; Alberto Bosio; Luigi Dilillo (IEEE Trans. Emerg. Top. Comput., 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)

Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator. - Salvatore Pappalardo; Annachiara Ruospo; Ian O'Connor; Bastien Deveautour; Ernesto Sánchez 001; Alberto Bosio (DDECS, 2023)

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

Investigating the effect of approximate multipliers on the resilience of a systolic array DNN accelerator. - Salvatore Pappalardo; Ali Piri; Annachiara Ruospo; Ian O'Connor; Bastien Deveautour; Ernesto Sánchez 001; Alberto Bosio (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)

A Fast Reliability Analysis of Image Segmentation Neural Networks Exploiting Statistical Fault Injections. - G. Govarini; Annachiara Ruospo; Edgar E. Sánchez (LATS, 2023)

A Fault Injection Framework for AI Hardware Accelerators. - Salvatore Pappalardo; Annachiara Ruospo; Ian O'Connor; Bastien Deveautour; Ernesto Sánchez 001; Alberto Bosio (LATS, 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)

A Survey on Deep Learning Resilience Assessment Methodologies. - Annachiara Ruospo; Ernesto Sánchez 001; Lucas Matana Luza; Luigi Dilillo; Marcello Traiola; Alberto Bosio (Computer, 2023)

Model theft attack against a tinyML application running on an Ultra-Low-Power Open-Source SoC. - Antonio Porsia; Annachiara Ruospo; Ernesto Sánchez 001 (CF (Companion), 2024)

Early Detection of Permanent Faults in DNNs Through the Application of Tensor-Related Metrics. - Vittorio Turco; Annachiara Ruospo; Ernesto Sánchez 001; Matteo Sonza Reorda (DDECS, 2024)

Reliable and Efficient hardware for Trustworthy Deep Neural Networks. - Salvatore Pappalardo; Ali Piri; Annachiara Ruospo; Bastien Deveautour; Ernesto Sánchez 001; Alberto Bosio (DTTIS, 2024)

AI Eye Charts: measuring the visual acuity of Neural Networks with test images. - Antonio Porsia; Annachiara Ruospo; Ernesto Sánchez 001 (DTTIS, 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)

Approximate Fault-Tolerant Neural Network Systems. - Marcello Traiola; Salvatore Pappalardo; Ali Piri; Annachiara Ruospo; Bastien Deveautour; Ernesto Sánchez 001; Alberto Bosio; Sepide Saeedi; Alessio Carpegna; Anil Bayram Gogebakan; Enrico Magliano; Alessandro Savino (ETS, 2024)

SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks. - Anil Bayram Gögebakan; Enrico Magliano; Alessio Carpegna; Annachiara Ruospo; Alessandro Savino; Stefano Di Carlo (IOLTS, 2024)

Resiliency Approaches in Convolutional, Photonic, and Spiking Neural Networks. - Alberto Bosio; M. Gomes; Fabio Pavanello; A. Porsia; Annachiara Ruospo; Ernesto Sánchez 001; Elena I. Vatajelu (LATS, 2024)

Investigating on Gradient Regularization for Testing Neural Networks. - Nicolò Bellarmino; Alberto Bosio; Riccardo Cantoro; Annachiara Ruospo; Ernesto Sánchez 001; Giovanni Squillero (LOD (2), 2024)

DEAR-CNN: Data-Efficient Assessment of Resiliency in Convolutional Neural Networks. - Nicolò Bellarmino; Alberto Bosio; Riccardo Cantoro; Annachiara Ruospo; Ernesto Sánchez 001 (DDECS, 2025)

On the Resilience of INT8 Quantized Neural Networks on Low-Power RISC-V Devices. - Antonio Porsia; Giacomo Perlo; Annachiara Ruospo; Ernesto Sánchez 001 (DSN-W, 2025)

AI-Based Classification of Adversarial Attacks vs. Hardware Fault Corruptions in the Split Computing Context. - Giuseppe Esposito; Enrico Magliano; Nicola Scarano; Tamer Ahmed Eltaras; Juan-David Guerrero-Balaguera; Luca Mannella; Josie E. Rodriguez Condia; Annachiara Ruospo; Stefano Di Carlo; Marco Levorato; Alessandro Savino; Matteo Sonza Reorda (IOLTS, 2025)

Bi-LORD: Bit-Wise Low-Cost Real Numbers Dependability Assessment in AI Applications. - Julia Azziz; Annachiara Ruospo; Ernesto Sánchez 001; Julio Pérez Acle (LATS, 2025)

Late Contribution: VeriSide: A Modified Verilator for Leakage Assessment at the RTL Level. - Behnam Farnaghinejad; Antonio Porsia; Annachiara Ruospo; Alessandro Savino; Stefano Di Carlo; Ernesto Sánchez 001 (LATS, 2025)

Image Test Libraries for the In-Field Test of Ultra-Low-Power Devices. - Antonio Porsia; Giacomo Perlo; Annachiara Ruospo; Ernesto Sánchez 001 (LATS, 2025)

DOC: Detection of On-Line Failures in CNNs. - Vittorio Turco; Nicolò Bellarmino; Annachiara Ruospo; Riccardo Cantoro; Ernesto Sánchez 001 (LATS, 2025)

Special Session: Trustworthy Hardware-AI at the Cloud. - Francesco Angione; Paolo Bernardi; Alberto Bosio; Harish Dattatraya Dixit; Salvatore Pappalardo; Annachiara Ruospo; Ernesto Sánchez 001; Arani Sinha; Vittorio Turco (VTS, 2025)

Reliability of Deep Neural Networks: Impact and Open Issues. - Annachiara Ruospo; Salvatore Pappalardo; Vittorio Turco; Alberto Bosio; Ernesto Sánchez 001 (IEEE Des. Test, 2025)

An Effective Iterative Statistical Fault Injection Methodology for Deep Neural Networks. - Annachiara Ruospo; Matteo Sonza Reorda; Riccardo Mariani; Ernesto Sánchez 001 (IEEE Trans. Computers, 2025)