Annachiara Ruospo

63 papers A 7B 5C 14Misc 3Journal 10Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmark Suite for Resilience Assessment of Deep Learning Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Cristiana Bolchini, Alberto Bosio, Luca Cassano, Antonio Miele, Salvatore Pappalardo, Dario Passarello, Annachiara Ruospo, Ernesto Sánchez, Matteo Sonza Reorda, Vittorio Turco
2026	—	`conf`	Deep Learning-Based Power Side-Channel Evaluation from RTL Switching-Activity Proxies. LATS Behnam Farnaghinejad, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo, Ernesto Sánchez
2026	—	`conf`	Emulating SDC-1 Hardware Faults Through Application Level Bit-Flip Injections in QNNs. LATS Giacomo Perlo, Antonio Porsia, Annachiara Ruospo, Ernesto Sánchez
2025	A	`conf`	A Benchmark Suite to Evaluate DNN's Resilience. ITC Cristiana Bolchini, Alberto Bosio, Luca Cassano, Antonio Miele, Salvatore Pappalardo, Dario Passariello, Annachiara Ruospo, Ernesto Sánchez, Matteo Sonza Reorda, Vittorio Turco
2025	C	`conf`	AI-Based Classification of Adversarial Attacks vs. Hardware Fault Corruptions in the Split Computing Context. IOLTS 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
2025	—	`conf`	APSS Metrics for Fault Detection: Area, Position, Symmetry, and Shape in Image Segmentation. DFT Vittorio Turco, L. Fezza, Annachiara Ruospo, E. Sanchez, Matteo Sonza Reorda
2025	J	`jnl`	An Effective Iterative Statistical Fault Injection Methodology for Deep Neural Networks. IEEE Trans. Computers Annachiara Ruospo, Matteo Sonza Reorda, Riccardo Mariani, Ernesto Sánchez
2025	—	`conf`	Bi-LORD: Bit-Wise Low-Cost Real Numbers Dependability Assessment in AI Applications. LATS Julia Azziz, Annachiara Ruospo, Ernesto Sánchez, Julio Pérez Acle
2025	C	`conf`	DEAR-CNN: Data-Efficient Assessment of Resiliency in Convolutional Neural Networks. DDECS Nicolò Bellarmino, Alberto Bosio, Riccardo Cantoro, Annachiara Ruospo, Ernesto Sánchez
2025	—	`conf`	DOC: Detection of On-Line Failures in CNNs. LATS Vittorio Turco, Nicolò Bellarmino, Annachiara Ruospo, Riccardo Cantoro, Ernesto Sánchez
2025	—	`conf`	Image Test Libraries for the In-Field Test of Ultra-Low-Power Devices. LATS Antonio Porsia, Giacomo Perlo, Annachiara Ruospo, Ernesto Sánchez
2025	—	`conf`	Late Contribution: VeriSide: A Modified Verilator for Leakage Assessment at the RTL Level. LATS Behnam Farnaghinejad, Antonio Porsia, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo, Ernesto Sánchez
2025	A	`conf`	Minimal Supervision, Maximum Accuracy: TabPFN for Microcontroller Performance Prediction. ITC Nicolò Bellarmino, Riccardo Cantoro, Martin Huch, Tobias Kilian, Annachiara Ruospo
2025	—	`conf`	On the Resilience of INT8 Quantized Neural Networks on Low-Power RISC-V Devices. DSN-W Antonio Porsia, Giacomo Perlo, Annachiara Ruospo, Ernesto Sánchez
2025	J	`jnl`	Power Side-Channel Analysis of the CVA6 RISC-V Core at the RTL Level Using VeriSide. CoRR Behnam Farnaghinejad, Antonio Porsia, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo, Ernesto Sánchez
2025	A	`conf`	Power Side-Channel Vulnerabilities of a RISC-V Cryptography Accelerator Integrated into CVA6 via Core-V eXtension Interface (CV-X-IF). ITC Behnam Farnaghinejad, Davide Bellizia, Alessandra Dolmeta, Guido Masera, Antonio Porsia, Annachiara Ruospo, Stefano Di Carlo, Alessandro Savino, Ernesto Sánchez
2025	J	`jnl`	Reliability of Deep Neural Networks: Impact and Open Issues. IEEE Des. Test Annachiara Ruospo, Salvatore Pappalardo, Vittorio Turco, Alberto Bosio, Ernesto Sánchez
2025	Misc	`conf`	Special Session: Trustworthy Hardware-AI at the Cloud. VTS Francesco Angione, Paolo Bernardi, Alberto Bosio, Harish Dattatraya Dixit, Salvatore Pappalardo, Annachiara Ruospo, Ernesto Sánchez, Arani Sinha, Vittorio Turco
2024	—	`conf`	AI Eye Charts: measuring the visual acuity of Neural Networks with test images. DTTIS Antonio Porsia, Annachiara Ruospo, Ernesto Sánchez
2024	B	`conf`	Approximate Fault-Tolerant Neural Network Systems. ETS Marcello Traiola, Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio, Sepide Saeedi, Alessio Carpegna, Anil Bayram Gogebakan, Enrico Magliano, Alessandro Savino
2024	C	`conf`	Early Detection of Permanent Faults in DNNs Through the Application of Tensor-Related Metrics. DDECS Vittorio Turco, Annachiara Ruospo, Ernesto Sánchez, Matteo Sonza Reorda
2024	—	`conf`	Investigating on Gradient Regularization for Testing Neural Networks. LOD (2) Nicolò Bellarmino, Alberto Bosio, Riccardo Cantoro, Annachiara Ruospo, Ernesto Sánchez, Giovanni Squillero
2024	—	`conf`	Model theft attack against a tinyML application running on an Ultra-Low-Power Open-Source SoC. CF (Companion) Antonio Porsia, Annachiara Ruospo, Ernesto Sánchez
2024	B	`conf`	Reliability and Security of AI Hardware. ETS Dennis Gnad, Martin Gotthard, Jonas Krautter, Angeliki Kritikakou, Vincent Meyers, Paolo Rech, Josie E. Rodriguez Condia, Annachiara Ruospo, Ernesto Sánchez, Fernando Fernandes dos Santos, Olivier Sentieys, Mehdi B. Tahoori, Russell Tessier, Marcello Traiola
2024	—	`conf`	Reliable and Efficient hardware for Trustworthy Deep Neural Networks. DTTIS Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio
2024	—	`conf`	Resiliency Approaches in Convolutional, Photonic, and Spiking Neural Networks. LATS Alberto Bosio, M. Gomes, Fabio Pavanello, A. Porsia, Annachiara Ruospo, Ernesto Sánchez, Elena I. Vatajelu
2024	C	`conf`	SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks. IOLTS Anil Bayram Gögebakan, Enrico Magliano, Alessio Carpegna, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo
2024	J	`jnl`	SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks. CoRR Anil Bayram Gogebakan, Enrico Magliano, Alessio Carpegna, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo
2023	—	`conf`	A Fast Reliability Analysis of Image Segmentation Neural Networks Exploiting Statistical Fault Injections. LATS G. Govarini, Annachiara Ruospo, Edgar E. Sánchez
2023	—	`conf`	A Fault Injection Framework for AI Hardware Accelerators. LATS Salvatore Pappalardo, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio
2023	J	`jnl`	A Survey on Deep Learning Resilience Assessment Methodologies. Computer Annachiara Ruospo, Ernesto Sánchez, Lucas Matana Luza, Luigi Dilillo, Marcello Traiola, Alberto Bosio
2023	A	`conf`	Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections. DATE Annachiara Ruospo, Gabriele Gavarini, Corrado De Sio, Juan-David Guerrero-Balaguera, Luca Sterpone, Matteo Sonza Reorda, Ernesto Sánchez, Riccardo Mariani, Joseph Aribido, Jyotika Athavale
2023	C	`conf`	Evaluation and Mitigation of Faults Affecting Swin Transformers. IOLTS Gabriele Gavarini, Annachiara Ruospo, Ernesto Sánchez
2023	B	`conf`	Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs. ETS Annachiara Ruospo, Gabriele Gavarini, A. Porsia, Matteo Sonza Reorda, Ernesto Sánchez, Riccardo Mariani, Joseph Aribido, Jyotika Athavale
2023	—	`conf`	Investigating the effect of approximate multipliers on the resilience of a systolic array DNN accelerator. DFT Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio
2023	—	`conf`	On the resilience of representative and novel data formats in CNNs. DFT Gabriele Gavarini, Annachiara Ruospo, Ernesto Sánchez
2023	C	`conf`	Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator. DDECS Salvatore Pappalardo, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio
2023	B	`conf`	SCI-FI: a Smart, aCcurate and unIntrusive Fault-Injector for Deep Neural Networks. ETS Gabriele Gavarini, Annachiara Ruospo, Ernesto Sánchez
2023	Misc	`conf`	Special Session: Approximation and Fault Resiliency of DNN Accelerators. VTS 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
2023	J	`jnl`	Special Session: Approximation and Fault Resiliency of DNN Accelerators. CoRR 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
2023	—	`conf`	Uncovering hidden vulnerabilities in CNNs through evolutionary-based Image Test Libraries. DFT Vittorio Turco, Annachiara Ruospo, Gabriele Gavarini, Ernesto Sánchez, Matteo Sonza Reorda
2022	J	`jnl`	Emulating the Effects of Radiation-Induced Soft-Errors for the Reliability Assessment of Neural Networks. IEEE Trans. Emerg. Top. Comput. Lucas Matana Luza, Annachiara Ruospo, Daniel Söderström, Carlo Cazzaniga, Maria Kastriotou, Ernesto Sánchez, Alberto Bosio, Luigi Dilillo
2022	J	`jnl`	Machine learning for hardware security: Classifier-based identification of Trojans in pipelined microprocessors. Appl. Soft Comput. Aleksa Damljanovic, Annachiara Ruospo, Ernesto Sánchez, Giovanni Squillero
2022	C	`conf`	Open-Set Recognition: an Inexpensive Strategy to Increase DNN Reliability. IOLTS Gabriele Gavarini, Diego Stucchi, Annachiara Ruospo, Giacomo Boracchi, Ernesto Sánchez
2022	—	`conf`	Reliability Assessment Methodologies for ANN-based Systems. LATS Annachiara Ruospo
2022	C	`conf`	Selective Hardening of Critical Neurons in Deep Neural Networks. DDECS Annachiara Ruospo, Gabriele Gavarini, Ilaria Bragaglia, Marcello Traiola, Alberto Bosio, Ernesto Sánchez
2022	B	`conf`	Test, Reliability and Functional Safety Trends for Automotive System-on-Chip. ETS Francesco Angione, Davide Appello, Joseph Aribido, Jyotika Athavale, Nicolò Bellarmino, Paolo Bernardi, Riccardo Cantoro, Corrado De Sio, Tommaso Foscale, Gabriele Gavarini, Juan-David Guerrero-Balaguera, 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
2021	C	`conf`	A Benchmark Suite of RT-level Hardware Trojans for Pipelined Microprocessor Cores. DDECS Aleksa Damljanovic, Annachiara Ruospo, Ernesto Sánchez, Giovanni Squillero
2021	C	`conf`	A Model-Based Framework to Assess the Reliability of Safety-Critical Applications. DDECS Lucas Matana Luza, Annachiara Ruospo, Alberto Bosio, Ernesto Sánchez, Luigi Dilillo
2021	C	`conf`	A Suitability Analysis of Software Based Testing Strategies for the On-line Testing of Artificial Neural Networks Applications in Embedded Devices. IOLTS Annachiara Ruospo, Davide Piumatti, Andrea Floridia, Ernesto Sánchez
2021	J	`jnl`	Investigating data representation for efficient and reliable Convolutional Neural Networks. Microprocess. Microsystems Annachiara Ruospo, Ernesto Sánchez, Marcello Traiola, Ian O'Connor, Alberto Bosio
2021	—	`conf`	Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks. LATS Annachiara Ruospo, Lucas Matana Luza, Alberto Bosio, Marcello Traiola, Luigi Dilillo, Ernesto Sánchez
2020	—	`conf`	A Pipelined Multi-Level Fault Injector for Deep Neural Networks. DFT Annachiara Ruospo, Angelo Balaara, Alberto Bosio, Ernesto Sánchez
2020	A	`conf`	Deterministic Cache-based Execution of On-line Self-Test Routines in Multi-core Automotive System-on-Chips. DATE Andrea Floridia, Tzamn Melendez Carmona, Davide Piumatti, Annachiara Ruospo, Ernesto Sánchez, Sergio de Luca, Rosario Martorana, Mose Alessandro Pernice
2020	C	`conf`	Evaluating Convolutional Neural Networks Reliability depending on their Data Representation. DSD Annachiara Ruospo, Alberto Bosio, Alessandro Ianne, Ernesto Sánchez
2020	C	`conf`	Simulation and Formal: The Best of Both Domains for Instruction Set Verification of RISC-V Based Processors. ISCAS Ckristian Duran, Hanssel Morales, Camilo Rojas, Annachiara Ruospo, Ernesto Sánchez, Elkim Roa
2020	Misc	`conf`	Special Session: AutoSoC - A Suite of Open-Source Automotive SoC Benchmarks. VTS Felipe Augusto da Silva, Ahmet Cagri Bagbaba, Annachiara Ruospo, Riccardo Mariani, Ghani Kanawati, Ernesto Sánchez, Matteo Sonza Reorda, Maksim Jenihhin, Said Hamdioui, Christian Sauer
2019	A	`conf`	A Decentralized Scheduler for On-line Self-test Routines in Multi-core Automotive System-on-Chips. ITC Andrea Floridia, Davide Piumatti, Annachiara Ruospo, Ernesto Sánchez, Sergio de Luca, Rosario Martorana
2019	—	`conf`	A Reliability Analysis of a Deep Neural Network. LATS Alberto Bosio, Paolo Bernardi, Annachiara Ruospo, Ernesto Sánchez
2019	A	`conf`	Non-Intrusive Self-Test Library for Automotive Critical Applications: Constraints and Solutions. DATE Paolo Bernardi, Riccardo Cantoro, Andrea Floridia, Davide Piumatti, C. Pogonea, Annachiara Ruospo, Ernesto Sánchez, Sergio de Luca, Alessandro Sansonetti
2019	—	`conf`	On the Detection of Always-On Hardware Trojans Supported by a Pre-Silicon Verification Methodology. MTV Annachiara Ruospo, Ernesto Sánchez
2019	—	`conf`	On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification. DFT Annachiara Ruospo, Riccardo Cantoro, Ernesto Sánchez, Pasquale Davide Schiavone, Angelo Garofalo, Luca Benini
2018	C	`conf`	An Open-Source Verification Framework for Open-Source Cores: A RISC-V Case Study. VLSI-SoC Pasquale Davide Schiavone, Ernesto Sánchez, Annachiara Ruospo, Francesco Minervini, Florian Zaruba, Germain Haugou, Luca Benini