Archivio Istituzionale della RicercaRUOSPO, ANNACHIARA
RUOSPO, ANNACHIARA
Dipartimento di Automatica e Informatica
041203
Model theft attack against a tinyML application running on an Ultra-Low-Power Open-Source SoC
In corso di stampa Porsia, Antonio; Ruospo, Annachiara; Sanchez, Ernesto
Resiliency approaches in Convolutional, Photonic, and Spiking Neural Networks
In corso di stampa Bosio, Alberto; Gomes, Mauricio; Pavanello, Fabio; Porsia, Antonio; Ruospo, Annachiara; Sanchez, Ernesto; Vatajelu, Elena Ioana
A Fast Reliability Analysis of Image Segmentation Neural Networks Exploiting Statistical Fault Injections
2023 Gavarini, G; Ruospo, A; Sanchez, E
A Fault Injection Framework for AI Hardware Accelerators
2023 Pappalardo, S; Ruospo, A; O'Connor, I; Deveautour, B; Sanchez, E; Bosio, A
A Survey on Deep Learning Resilience Assessment Methodologies
2023 Ruospo, Annachiara; Sanchez, Ernesto; Matana Luza, Lucas; Dilillo, Luigi; Traiola, Marcello; Bosio, Alberto
Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections
2023 Ruospo, Annachiara; Gavarini, Gabriele; De Sio, Corrado; Guerrero Balaguera, Juan David; Sterpone, Luca; Sonza Reorda, Matteo; Sanchez, Ernesto; Mariani, Riccardo; Aribido, Joseph; Athavale, Jyotika
Evaluation and mitigation of faults affecting Swin Transformers
2023 Gavarini, Gabriele; Ruospo, Annachiara; Sanchez, Ernesto
Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs
2023 Ruospo, Annachiara; Gavarini, Gabriele; Porsia, Antonio; Sonza Reorda, Matteo; Sanchez, Ernesto; Mariani, Riccardo; Aribido, Joseph; Athavale, Jyotika
On the resilience of representative and novel data formats in CNNs
2023 Gavarini, G.; Ruospo, A.; Sanchez, E.
Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator
2023 Pappalardo, S; Ruospo, A; O'Connor, I; Deveautour, B; Sanchez, E; Bosio, A
SCI-FI: a Smart, aCcurate and unIntrusive Fault-Injector for Deep Neural Networks
2023 Gavarini, G; Ruospo, A; Sanchez, E
Special Session: Approximation and Fault Resiliency of DNN Accelerators
2023 Ahmadilivani, Mh; Barbareschi, M; Barone, S; Bosio, A; Daneshtalab, M; Della Torca, S; Gavarini, G; Jenihhin, M; Raik, J; Ruospo, A; Sanchez, E; Taheri, M
Uncovering hidden vulnerabilities in CNNs through evolutionary-based Image Test Libraries
2023 Turco, V.; Ruospo, A.; Gavarini, G.; Sanchez, E.; Sonza Reorda, M.
Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits
2022 Bosio, Alberto; Di Carlo, Stefano; Girard, Patrick; Ruospo, Annachiara; Sanchez, Ernesto; Savino, Alessandro; Sekanina, Lukas; Traiola, Marcello; Vasicek, Zdenek; Virazel, Arnaud
Machine Learning for Hardware Security: Classifier-based Identification of Trojans in Pipelined Microprocessors
2022 Damljanovic, Aleksa; Ruospo, Annachiara; Sanchez, Ernesto; Squillero, Giovanni
Open-Set Recognition: an Inexpensive Strategy to Increase DNN Reliability
2022 Gavarini, Gabriele; Stucchi, Diego; Ruospo, Annachiara; Boracchi, Giacomo; Sanchez, Ernesto
Reliability and Security Assessment of Modern Embedded Devices
2022 Ruospo, Annachiara
Reliability Assessment Methodologies for ANN-based Systems
2022 Ruospo, A.
Selective Hardening of Critical Neurons in Deep Neural Networks
2022 Ruospo, Annachiara; Gavarini, Gabriele; Bragaglia, Ilaria; Traiola, Marcello; Bosio, Alberto; Sanchez, Ernesto
Test, Reliability and Functional Safety trends for Automotive System-on-Chip
2022 Angione, F.; Appello, D.; Aribido, J.; Bellarmino, N.; Bernardi, P.; Cantoro, R.; de Sio, C.; Foscale, T.; Gavarini, G.; Huch, M.; Kilian, T; Mariani, R.; Martone, R.; Ruospo, A.; Sanchez, E.; Schlichtmann, U.; Squillero, G.; Sonza Reorda, M.; Sterpone, L.; Tancorre, V.; Ugioli, R.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Model theft attack against a tinyML application running on an Ultra-Low-Power Open-Source SoC / Porsia, Antonio; Ruospo, Annachiara; Sanchez, Ernesto. - (In corso di stampa). (Intervento presentato al convegno 21st ACM International Conference on Computing Frontiers Workshops and Special Sessions (CF '24 Companion)). | In corso di stampa | Porsia, AntonioRuospo, AnnachiaraSanchez, Ernesto | OSHW24.pdf |
| Resiliency approaches in Convolutional, Photonic, and Spiking Neural Networks / Bosio, Alberto; Gomes, Mauricio; Pavanello, Fabio; Porsia, Antonio; Ruospo, Annachiara; Sanchez, Ernesto; Vatajelu, Elena Ioana. - (In corso di stampa). (Intervento presentato al convegno 25th IEEE Latin American Test Symposium (LATS)). | In corso di stampa | Bosio, AlbertoPavanello, FabioPorsia, AntonioRuospo, AnnachiaraSanchez, ErnestoVatajelu, Elena Ioana + | LATS24_SpecialSession.pdf |
| A Fast Reliability Analysis of Image Segmentation Neural Networks Exploiting Statistical Fault Injections / Gavarini, G; Ruospo, A; Sanchez, E. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE 24th Latin American Test Symposium (LATS) tenutosi a Veracruz (Mexico) nel 21-24 March 2023) [10.1109/LATS58125.2023.10154488]. | 1-gen-2023 | Gavarini, GRuospo, ASanchez, E | A_Fast_Reliability_Analysis_of_Image_Segmentation_Neural_Networks_Exploiting_Statistical_Fault_Injections.pdf |
| A Fault Injection Framework for AI Hardware Accelerators / Pappalardo, S; Ruospo, A; O'Connor, I; Deveautour, B; Sanchez, E; Bosio, A. - ELETTRONICO. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE 24th Latin American Test Symposium (LATS) tenutosi a Veracruz, Mexico nel 21-24 March 2023) [10.1109/LATS58125.2023.10154505]. | 1-gen-2023 | Ruospo, ASanchez, E + | _LATS23__A_Fault_Injection_Framework_for_AI_Hardware_Accelerators.pdf; A_Fault_Injection_Framework_for_AI_Hardware_Accelerators.pdf |
| A Survey on Deep Learning Resilience Assessment Methodologies / Ruospo, Annachiara; Sanchez, Ernesto; Matana Luza, Lucas; Dilillo, Luigi; Traiola, Marcello; Bosio, Alberto. - In: COMPUTER. - ISSN 0018-9162. - ELETTRONICO. - 56:2(2023), pp. 57-66. [10.1109/MC.2022.3217841] | 1-gen-2023 | Ruospo, AnnachiaraSanchez, Ernesto + | A_Survey_on_Deep_Learning_Resilience_Assessment_Methodologies_CR.pdf; A_Survey_on_Deep_Learning_Resilience_Assessment_Methodologies.pdf |
| Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections / Ruospo, Annachiara; Gavarini, Gabriele; De Sio, Corrado; Guerrero Balaguera, Juan David; Sterpone, Luca; Sonza Reorda, Matteo; Sanchez, Ernesto; Mariani, Riccardo; Aribido, Joseph; Athavale, Jyotika. - (2023), pp. 1-6. (Intervento presentato al convegno IEEE Design, Automation and Test in Europe Conference (DATE) tenutosi a Antwerp (Belgium) nel 17 - 19 April 2023) [10.23919/DATE56975.2023.10136998]. | 1-gen-2023 | Ruospo, AnnachiaraGavarini, GabrieleDe Sio, CorradoGuerrero Balaguera, Juan DavidSterpone, LucaSonza Reorda, MatteoSanchez, Ernesto + | date_2023_acceptedVersion.pdf; Assessing_Convolutional_Neural_Networks_Reliability_through_Statistical_Fault_Injections.pdf |
| Evaluation and mitigation of faults affecting Swin Transformers / Gavarini, Gabriele; Ruospo, Annachiara; Sanchez, Ernesto. - ELETTRONICO. - (2023), pp. 1-7. (Intervento presentato al convegno 29th IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS 2023) tenutosi a Chania,Crete (Greece) nel July 3rd - 5th, 2023) [10.1109/IOLTS59296.2023.10224882]. | 1-gen-2023 | Gabriele GavariniAnnachiara RuospoErnesto Sanchez | IOLTS23_TransformerCaseStudy.pdf; Evaluation_and_Mitigation_of_Faults_Affecting_Swin_Transformers.pdf |
| Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs / Ruospo, Annachiara; Gavarini, Gabriele; Porsia, Antonio; Sonza Reorda, Matteo; Sanchez, Ernesto; Mariani, Riccardo; Aribido, Joseph; Athavale, Jyotika. - (2023), pp. 1-6. (Intervento presentato al convegno 28th IEEE European Test Symposium 2023 tenutosi a Venice (Italy) nel May 22 - 26, 2023) [10.1109/ETS56758.2023.10174176]. | 1-gen-2023 | Ruospo, AnnachiaraGavarini, GabrielePorsia, AntonioSonza Reorda, MatteoSanchez, Ernesto + | OnlineTestImages_ETS23.pdf; Image_Test_Libraries_for_the_on-line_self-test_of_functional_units_in_GPUs_running_CNNs.pdf |
| On the resilience of representative and novel data formats in CNNs / Gavarini, G.; Ruospo, A.; Sanchez, E.. - (2023). (Intervento presentato al convegno International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems tenutosi a Juan-Les-Pins (FR) nel 03-05 October 2023) [10.1109/DFT59622.2023.10313551]. | 1-gen-2023 | Gavarini G.Ruospo A.Sanchez E. | On_the_resilience_of_representative_and_novel_data_formats_in_CNNs.pdf |
| Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator / Pappalardo, S; Ruospo, A; O'Connor, I; Deveautour, B; Sanchez, E; Bosio, A. - (2023), pp. 181-186. (Intervento presentato al convegno 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS) tenutosi a Tallin, Estonia nel 03-05 May 2023) [10.1109/DDECS57882.2023.10139704]. | 1-gen-2023 | Ruospo, ASanchez, E + | _DDECS__Resilence_Performance_Tradeoff_Analisys_of_Deep_Neural_Network_Accelerator.pdf; Resilience-Performance_Tradeoff_Analysis_of_a_Deep_Neural_Network_Accelerator.pdf |
| SCI-FI: a Smart, aCcurate and unIntrusive Fault-Injector for Deep Neural Networks / Gavarini, G; Ruospo, A; Sanchez, E. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE European Test Symposium (ETS) tenutosi a Venice (Italy) nel 22-26 May 2023) [10.1109/ETS56758.2023.10173957]. | 1-gen-2023 | Gavarini, GRuospo, ASanchez, E | SCI-FI_a_Smart_aCcurate_and_unIntrusive_Fault-Injector_for_Deep_Neural_Networks.pdf |
| Special Session: Approximation and Fault Resiliency of DNN Accelerators / Ahmadilivani, Mh; Barbareschi, M; Barone, S; Bosio, A; Daneshtalab, M; Della Torca, S; Gavarini, G; Jenihhin, M; Raik, J; Ruospo, A; Sanchez, E; Taheri, M. - (2023), pp. 1-10. (Intervento presentato al convegno 2023 IEEE 41st VLSI Test Symposium (VTS) tenutosi a San Diego (USA) nel 24-26 April 2023) [10.1109/VTS56346.2023.10140043]. | 1-gen-2023 | Barone, SBosio, AGavarini, GRuospo, ASanchez, E + | Special_Session_Approximation_and_Fault_Resiliency_of_DNN_Accelerators.pdf |
| Uncovering hidden vulnerabilities in CNNs through evolutionary-based Image Test Libraries / Turco, V.; Ruospo, A.; Gavarini, G.; Sanchez, E.; Sonza Reorda, M.. - (2023). (Intervento presentato al convegno International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems tenutosi a Juan-Les-Pins (FR) nel 03-05 October 2023) [10.1109/DFT59622.2023.10313530]. | 1-gen-2023 | V. TurcoA. RuospoG. GavariniE. SanchezM. Sonza Reorda | Uncovering_hidden_vulnerabilities_in_CNNs_through_evolutionary-based_Image_Test_Libraries.pdf |
| Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits / Bosio, Alberto; Di Carlo, Stefano; Girard, Patrick; Ruospo, Annachiara; Sanchez, Ernesto; Savino, Alessandro; Sekanina, Lukas; Traiola, Marcello; Vasicek, Zdenek; Virazel, Arnaud - In: Approximate Computing Techniques From Component- to Application-Level / Bosio A., Ménard D., Sentieys O.. - STAMPA. - [s.l] : Springer Nature, 2022. - ISBN 978-3-030-94704-0. - pp. 349-385 [10.1007/978-3-030-94705-7_12] | 1-gen-2022 | Bosio, AlbertoDi Carlo, StefanoRuospo, AnnachiaraSanchez, ErnestoSavino, Alessandro + | chapter12.pdf; printed-chapter.pdf |
| Machine Learning for Hardware Security: Classifier-based Identification of Trojans in Pipelined Microprocessors / Damljanovic, Aleksa; Ruospo, Annachiara; Sanchez, Ernesto; Squillero, Giovanni. - In: APPLIED SOFT COMPUTING. - ISSN 1568-4946. - ELETTRONICO. - 116:(2022), pp. 1-16. [10.1016/j.asoc.2021.108068] | 1-gen-2022 | Aleksa DamljanovicAnnachiara RuospoErnesto SanchezGiovanni Squillero | HT_ML_Elsevier.pdf; 1-s2.0-S1568494621009753-main.pdf |
| Open-Set Recognition: an Inexpensive Strategy to Increase DNN Reliability / Gavarini, Gabriele; Stucchi, Diego; Ruospo, Annachiara; Boracchi, Giacomo; Sanchez, Ernesto. - ELETTRONICO. - (2022). (Intervento presentato al convegno The 28th IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS 2022) tenutosi a Torino nel September, 12th-14th 2022) [10.1109/IOLTS56730.2022.9897805]. | 1-gen-2022 | Gavarini, GabrieleRuospo, AnnachiaraSanchez, Ernesto + | postPrintIOLTS.pdf; Open-Set_Recognition_an_Inexpensive_Strategy_to_Increase_DNN_Reliability.pdf |
| Reliability and Security Assessment of Modern Embedded Devices / Ruospo, Annachiara. - (2022 Jul 05), pp. 1-193. | 5-lug-2022 | RUOSPO, ANNACHIARA | conv_phd_thesis.pdf; conv_phd_thesis_summary.pdf |
| Reliability Assessment Methodologies for ANN-based Systems / Ruospo, A.. - (2022), pp. 1-4. (Intervento presentato al convegno 23rd IEEE Latin American Test Symposium, LATS 2022 tenutosi a Montevideo (Uruguay) nel 05-08 September 2022) [10.1109/LATS57337.2022.9936917]. | 1-gen-2022 | Ruospo A. | lats_2022_final.pdf |
| Selective Hardening of Critical Neurons in Deep Neural Networks / Ruospo, Annachiara; Gavarini, Gabriele; Bragaglia, Ilaria; Traiola, Marcello; Bosio, Alberto; Sanchez, Ernesto. - ELETTRONICO. - (2022), pp. 136-141. (Intervento presentato al convegno 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems – DDECS 2022 tenutosi a Prague, Czech Republic nel April 6 – 8, 2022) [10.1109/DDECS54261.2022.9770168]. | 1-gen-2022 | Ruospo, AnnachiaraGavarini, GabrieleSanchez, Ernesto + | DDECS_2022__TMR_critical_neurons.pdf; Selective_Hardening_of_Critical_Neurons_in_Deep_Neural_Networks.pdf |
| Test, Reliability and Functional Safety trends for Automotive System-on-Chip / Angione, F.; Appello, D.; Aribido, J.; Bellarmino, N.; Bernardi, P.; Cantoro, R.; de Sio, C.; Foscale, T.; Gavarini, G.; Huch, M.; Kilian, T; Mariani, R.; Martone, R.; Ruospo, A.; Sanchez, E.; Schlichtmann, U.; Squillero, G.; Sonza Reorda, M.; Sterpone, L.; Tancorre, V.; Ugioli, R.. - (2022). (Intervento presentato al convegno IEEE European Test Symposium). | 1-gen-2022 | F. AngioneN. BellarminoP. BernardiR. CantoroC. de SioT. FoscaleG. GavariniA. RuospoE. SanchezG. SquilleroM. Sonza ReordaL. Sterpone + | 01_ETS_special_session_ABSTRACT.pdf |