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Education and Innovation in Embedded Systems Design

USI Università della Svizzera italiana, USI Faculty of Informatics, Advanced Learning and Research Institute USI Università della Svizzera italiana USI Faculty of Informatics USI Advanced Learning and Research Institute
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Author Title Type [ Year(Asc)]
2018
Kaitović, I., and M. Malek, "Impact of Failure Prediction on Availability: Modeling and Comparative Analysis of Predictive and Reactive Methods", IEEE Transactions on Dependable and Secure Computing, pp. 1-1, 2018.
Banik, S., A. Bogdanov, T. Isobe, H. Hiwatari, T. Akishita, and F. Regazzoni, "Inverse Gating for Low Energy Block Ciphers", Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2018.
Bianchi, F. Maria, L. Livi, and C. Alippi, "Investigating echo state networks dynamics by means of recurrence analysis", IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 427 - 439, 02/2018.
Alippi, C., S. Disabato, and M. Roveri, "Moving Convolutional Neural Networks to Embedded Systems: The Alexnet and VGG-16 Case", Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, Piscataway, NJ, USA, IEEE Press, 2018.
Ferrante, A., "Panel IoT and pervasive computing: are new definitions of security and privacy needed?", Malicious Software and Hardware in Internet of Things Co-located with ACM International Conference on Computing Frontiers 2018, Ischia, Naples, Italy, 05/2018.
Bo, L., C. Alippi, and D. Zhao, "A Pdf-free Change Detection Test Based on Density Difference Estimation", IEEE Transactions on Neural Networks and Learning Systems, vol. 29, issue 2, pp. 324 - 334, 11/2016, 2018.
Mentens, N., E. Charbon, and F. Regazzoni, "Rethinking Secure FPGAs: TowardsCryptography-friendly Configurable Cell Architecture and its Automated Design Flow", Proceedings of FCCM, 2018.
Pilato, C., F. Regazzoni, R. Karri, and S. Garg, "TAO: Techniques for Algorithmic Obscuration during High-Level Synthesis", Proceedings of the ACM/IEEE Design Automation Conference (DAC), 2018.
2017
Bianchi, F. Maria, L. Livi, R. Jenssen, and C. Alippi, "Critical echo state network dynamics by means of Fisher information maximization", 2017 International Joint Conference on Neural Networks (IJCNN), May, 2017.
Masin, M., F. Palumbo, H. Myrhaug, J. A. de Oliv Filho, M. Pastena, M. Pelcat, L. Raffo, F. Regazzoni, A. A. Sanchez, A. Toffetti, et al., "Cross-layer Design of Reconfigurable Cyber-Physical Systems", Proceedings of Design, Automation and Test in Europe (DATE) 2017, 2017.
Valencia, F., A. Khalid, E. O'Sullivan, and F. Regazzoni, "The design space of the number theoretic transform: A survey", 2017 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, {SAMOS} 2017, Pythagorion, Greece, July 17-20, 2017 (Invited), 2017.
Alippi, C., V. D'Alto, M. Falchetto, D. Pau, and M. Roveri, "Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation", 2017 International Joint Conference on Neural Networks (IJCNN), May, 2017.
Zambon, D., L. Livi, and C. Alippi, "Detecting changes in sequences of attributed graphs", 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Nov, 2017.
Piscitelli, R., S. Bhasin, and F. Regazzoni, "Fault Attacks, Injection Techniques and Tools for Simulation", Hardware Security and Trust: Design and Deployment of Integrated Circuits in a Threatened Environment, First edition; 2016: Springer, pp. 149-167, 2017.
Sklavos, N., R. Chaves, G. Di Natale, and F. Regazzoni, Hardware Security and Trust: Design and Deployment of Integrated Circuits in a Threatened Environment, , First edition; 2016: Springer, 2017.
Bu, L., D. Zhao, and C. Alippi, "An Incremental Change Detection Test Based on Density Difference Estimation", IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, pp. 2714-2726, Oct, 2017.
Brannigan, S., N. Smyth, T. Oder, F. Valencia, E. O'Sullivan, T. Güneysu, and F. Regazzoni, "An Investigation of Sources of Randomness Within Discrete Gaussian Sampling", IACR Cryptology ePrint Archive, vol. 2017, pp. 298, 2017.
Zhao, D., L. Bu, C. Alippi, and Q. Wei, "A Kolmogorov-Smirnov Test to Detect Changes in Stationarity in Big Data", IFAC-PapersOnLine, vol. 50, pp. 14260 - 14265, 2017.
Alippi, C., W. Qi, and M. Roveri, "Learning in Nonstationary Environments: A Hybrid Approach", Artificial Intelligence and Soft Computing, Cham, Springer International Publishing, 2017.
Alippi, C., R. Ambrosini, V. Longoni, D. Cogliati, and M. Roveri, "A lightweight and energy-efficient Internet-of-birds tracking system", 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom), March, 2017.

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