Giuseppe Esposito

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39^th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

giuseppe.esposito@polito.it

Profile

PhD

Research topic

New Techniques for Reliability Evaluation and Enhancement of Neural Networks

Tutors

Research interests

Computer architectures and Computer aided design

Data science, Computer vision and AI

Biography

I am Giuseppe Esposito, a Ph.D. student at Politecnico di Torino - DAUIN. I started my academic career at Università degli studi Federico II attending the Management Engineering bachelor degree. Then, I decided to move to Turin to attend the courses of Data Science and Engineering master's degree. During my thesis I have worked on the Reliability assessment of Split Computing Neural Networks with professor Matteo Sonza Reorda and then I decided to continue my academic path with the Ph.D. at DAUIN.

Teaching

Teachings

Master of Science

Computational intelligence. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Research

Research groups

CAD - Electronic CAD & Reliability Group (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Esposito, Giuseppe; Guerrero Balaguera, Juan David; Rodriguez Condia, Josie Esteban; ... (2024)
Evaluating Different Fault Injection Abstractions on the Assessment of DNN SW Hardening Strategies. In: 33rd IEEE Asian Test Symposium (ATS 2024), Ahmedabad, Gujarat (IND), 17th -20th December 2024, pp. 1-6. ISBN: 979-8-3315-2916-1
Contributo in Atti di Convegno (Proceeding)
Chen, Junchao; Esposito, Giuseppe; Fernandes dos Santos, Fernando; Guerrero-Balaguera, ... (2024)
Reliability Assessment of Large DNN Models:Trading Off Performance and Accuracy. In: 2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC), Tanger (MAR), 06-09 October 2024, pp. 1-10. ISBN: 979-8-3315-3967-2
Contributo in Atti di Convegno (Proceeding)
Esposito, G.; Guerrero-Balaguera, J. -D.; Condia, J. E. R.; Levorato, M.; Reorda, M. S. (2024)
Enhancing the Reliability of Split Computing Deep Neural Networks. In: 2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS), Rennes (FR), 03-05 July 2024, pp. 1-7. ISBN: 979-8-3503-7055-3
Contributo in Atti di Convegno (Proceeding)
Esposito, Giuseppe; Guerrero-Balaguera, Juan-David; Rodriguez Condia, Josie E.; ... (2024)
Assessing the Reliability of Different Split Computing Neural Network Applications. In: 2024 IEEE 25th Latin American Test Symposium (LATS), Maceio (BRA), 09-12 April 2024. ISBN: 979-8-3503-6555-9
Contributo in Atti di Convegno (Proceeding)