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ORCIDAnnachiara Ruospo
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- affiliation: Politecnico di Torino, Turin, Italy
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Journal Articles
- 2023
[j4]Annachiara Ruospo
, Ernesto Sánchez, Lucas Matana Luza, Luigi Dilillo, Marcello Traiola, Alberto Bosio:
A Survey on Deep Learning Resilience Assessment Methodologies. Computer 56(2): 57-66 (2023)- 2022
- [j3]Aleksa Damljanovic, Annachiara Ruospo, Ernesto Sánchez, Giovanni Squillero:
Machine learning for hardware security: Classifier-based identification of Trojans in pipelined microprocessors. Appl. Soft Comput. 116: 108068 (2022) - [j2]Lucas Matana Luza, Annachiara Ruospo, Daniel Söderström, Carlo Cazzaniga, Maria Kastriotou, Ernesto Sánchez, Alberto Bosio, Luigi Dilillo:
Emulating the Effects of Radiation-Induced Soft-Errors for the Reliability Assessment of Neural Networks. IEEE Trans. Emerg. Top. Comput. 10(4): 1867-1882 (2022) - 2021
- [j1]Annachiara Ruospo, Ernesto Sánchez, Marcello Traiola, Ian O'Connor, Alberto Bosio:
Investigating data representation for efficient and reliable Convolutional Neural Networks. Microprocess. Microsystems 86: 104318 (2021)
Conference and Workshop Papers
- 2023
- [c30]Annachiara Ruospo, Gabriele Gavarini, Corrado De Sio, J. Guerrero, Luca Sterpone, Matteo Sonza Reorda, Ernesto Sánchez, Riccardo Mariani, J. Aribido, Jyotika Athavale:
Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections. DATE 2023: 1-6 - [c29]Salvatore Pappalardo, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator. DDECS 2023: 181-186 - [c28]Gabriele Gavarini, Annachiara Ruospo, Ernesto Sánchez:
On the resilience of representative and novel data formats in CNNs. DFT 2023: 1-6 - [c27]Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
Investigating the effect of approximate multipliers on the resilience of a systolic array DNN accelerator. DFT 2023: 1-6 - [c26]V. Turco, Annachiara Ruospo, Gabriele Gavarini, Ernesto Sánchez, Matteo Sonza Reorda:
Uncovering hidden vulnerabilities in CNNs through evolutionary-based Image Test Libraries. DFT 2023: 1-6 - [c25]Gabriele Gavarini, Annachiara Ruospo, Ernesto Sánchez:
SCI-FI: a Smart, aCcurate and unIntrusive Fault-Injector for Deep Neural Networks. ETS 2023: 1-6 - [c24]Annachiara Ruospo, Gabriele Gavarini, A. Porsia, Matteo Sonza Reorda, Ernesto Sánchez, Riccardo Mariani, J. Aribido, Jyotika Athavale:
Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs. ETS 2023: 1-6 - [c23]Gabriele Gavarini, Annachiara Ruospo, Ernesto Sánchez:
Evaluation and Mitigation of Faults Affecting Swin Transformers. IOLTS 2023: 1-7 - [c22]G. Govarini, Annachiara Ruospo, Edgar E. Sánchez:
A Fast Reliability Analysis of Image Segmentation Neural Networks Exploiting Statistical Fault Injections. LATS 2023: 1-6 - [c21]Salvatore Pappalardo, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
A Fault Injection Framework for AI Hardware Accelerators. LATS 2023: 1-6 - [c20]Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone, Alberto Bosio, Masoud Daneshtalab, Salvatore Della Torca, Gabriele Gavarini, Maksim Jenihhin, Jaan Raik, Annachiara Ruospo, Ernesto Sánchez, Mahdi Taheri:
Special Session: Approximation and Fault Resiliency of DNN Accelerators. VTS 2023: 1-10 - 2022
- [c19]Annachiara Ruospo, Gabriele Gavarini, Ilaria Bragaglia, Marcello Traiola, Alberto Bosio, Ernesto Sánchez:
Selective Hardening of Critical Neurons in Deep Neural Networks. DDECS 2022: 136-141 - [c18]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, Giusy Iaria, Tobias Kilian, Riccardo Mariani, Raffaele Martone, Annachiara Ruospo, Ernesto Sánchez, Ulf Schlichtmann, Giovanni Squillero, Matteo Sonza Reorda, Luca Sterpone, Vincenzo Tancorre, Roberto Ugioli:
Test, Reliability and Functional Safety Trends for Automotive System-on-Chip. ETS 2022: 1-10 - [c17]Gabriele Gavarini, Diego Stucchi, Annachiara Ruospo, Giacomo Boracchi, Ernesto Sánchez:
Open-Set Recognition: an Inexpensive Strategy to Increase DNN Reliability. IOLTS 2022: 1-7 - [c16]Annachiara Ruospo:
Reliability Assessment Methodologies for ANN-based Systems. LATS 2022: 1-4 - 2021
- [c15]Lucas Matana Luza, Annachiara Ruospo, Alberto Bosio, Ernesto Sánchez, Luigi Dilillo:
A Model-Based Framework to Assess the Reliability of Safety-Critical Applications. DDECS 2021: 41-44 - [c14]Aleksa Damljanovic, Annachiara Ruospo, Ernesto Sánchez, Giovanni Squillero:
A Benchmark Suite of RT-level Hardware Trojans for Pipelined Microprocessor Cores. DDECS 2021: 51-56 - [c13]Annachiara Ruospo, Davide Piumatti, Andrea Floridia, Ernesto Sánchez:
A Suitability Analysis of Software Based Testing Strategies for the On-line Testing of Artificial Neural Networks Applications in Embedded Devices. IOLTS 2021: 1-6 - [c12]Annachiara Ruospo, Lucas Matana Luza, Alberto Bosio, Marcello Traiola, Luigi Dilillo, Ernesto Sánchez:
Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks. LATS 2021: 1-5 - 2020
- [c11]Andrea Floridia, Tzamn Melendez Carmona, Davide Piumatti, Annachiara Ruospo, Ernesto Sánchez, Sergio de Luca, Rosario Martorana, Mose Alessandro Pernice:
Deterministic Cache-based Execution of On-line Self-Test Routines in Multi-core Automotive System-on-Chips. DATE 2020: 1235-1240 - [c10]Annachiara Ruospo, Angelo Balaara, Alberto Bosio, Ernesto Sánchez:
A Pipelined Multi-Level Fault Injector for Deep Neural Networks. DFT 2020: 1-6 - [c9]Annachiara Ruospo, Alberto Bosio, Alessandro Ianne, Ernesto Sánchez:
Evaluating Convolutional Neural Networks Reliability depending on their Data Representation. DSD 2020: 672-679 - [c8]Ckristian Duran, Hanssel Morales, Camilo Rojas, Annachiara Ruospo, Ernesto Sánchez, Elkim Roa:
Simulation and Formal: The Best of Both Domains for Instruction Set Verification of RISC-V Based Processors. ISCAS 2020: 1-4 - [c7]Felipe Augusto da Silva, Ahmet Cagri Bagbaba, Annachiara Ruospo, Riccardo Mariani, Ghani Kanawati, Ernesto Sánchez, Matteo Sonza Reorda, Maksim Jenihhin, Said Hamdioui, Christian Sauer:
Special Session: AutoSoC - A Suite of Open-Source Automotive SoC Benchmarks. VTS 2020: 1-9 - 2019
- [c6]Paolo Bernardi, Riccardo Cantoro, Andrea Floridia, Davide Piumatti, C. Pogonea, Annachiara Ruospo, Ernesto Sánchez, Sergio de Luca, Alessandro Sansonetti:
Non-Intrusive Self-Test Library for Automotive Critical Applications: Constraints and Solutions. DATE 2019: 920-923 - [c5]Annachiara Ruospo, Riccardo Cantoro, Ernesto Sánchez, Pasquale Davide Schiavone, Angelo Garofalo, Luca Benini:
On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification. DFT 2019: 1-6 - [c4]Andrea Floridia, Davide Piumatti, Annachiara Ruospo, Ernesto Sánchez, Sergio de Luca, Rosario Martorana:
A Decentralized Scheduler for On-line Self-test Routines in Multi-core Automotive System-on-Chips. ITC 2019: 1-10 - [c3]Alberto Bosio, Paolo Bernardi, Annachiara Ruospo, Ernesto Sánchez:
A Reliability Analysis of a Deep Neural Network. LATS 2019: 1-6 - [c2]Annachiara Ruospo, Ernesto Sánchez:
On the Detection of Always-On Hardware Trojans Supported by a Pre-Silicon Verification Methodology. MTV 2019: 25-30 - 2018
- [c1]Pasquale Davide Schiavone, Ernesto Sánchez, Annachiara Ruospo, Francesco Minervini, Florian Zaruba, Germain Haugou, Luca Benini:
An Open-Source Verification Framework for Open-Source Cores: A RISC-V Case Study. VLSI-SoC 2018: 43-48
Informal and Other Publications
- 2023
- [i1]Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone, Alberto Bosio, Masoud Daneshtalab, Salvatore Della Torca, Gabriele Gavarini, Maksim Jenihhin, Jaan Raik, Annachiara Ruospo, Ernesto Sánchez, Mahdi Taheri:
Special Session: Approximation and Fault Resiliency of DNN Accelerators. CoRR abs/2306.04645 (2023)
Coauthor Index
aka: Edgar E. Sánchez
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