Giuseppe Esposito

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

Adjunct lecturer/Adjunct instructor
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

Keywords

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. 2026/27, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Computational intelligence. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Computational intelligence. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

MostraNascondi A.A. passati

Bachelor of Science

Algoritmi e programmazione a oggetti. A.A. 2025/26, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso

Research

Research Areas/Fields/Groups

CAD - Electronic CAD & Reliability Group (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Magliano, E.; Esposito, G.; Shahdadian, A.; Mounika Kodamanchili, R.; Guerrero ... (2026)
JASPER: Special Session on Joint Reliability And Security Assessment of SPlit Computing for Edge Robustness. In: International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, Roma, 30/09/2026
Contributo in Atti di Convegno (Proceeding)
Gensale, Aurora; Esposito, Giuseppe; Guerrero-Balaguera, Juan-David; Condia, Josie E. ... (2026)
From Prompts to Pressure: Evaluating LLM-driven Agents for GPU Stress-code Generation. In: 32nd International Symposium on On-Line Testing and Robust System Design, IOLTS 2026, Polignano a Mare (ITA), 01-03 July 2026, pp. 1-7. ISBN: 979-8-3315-4685-4
Contributo in Atti di Convegno (Proceeding)
Esposito, Giuseppe.; Magliano, Enrico.; Scarano, N.; Ahmed Eltaras, T.; Guerrero ... (2026)
AI-Based Detection and Classification of Adversarial and Fault-Induced Threats in Split Computing. In: IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY, pp. 1-15. ISSN 1530-4388
Contributo su Rivista
De Paola, Luca; Esposito, Giuseppe; Guerrero-Balaguera, Juan-David; Reorda, Matteo Sonza (2025)
A New Online Fault Detection Mechanism for Neural Network Applications. In: 2025 32nd IEEE International Conference on Electronics, Circuits and Systems (ICECS), Marrakesh (MAR), 17-19 November 2025, pp. 1-4. ISBN: 979-8-3315-9585-2
Contributo in Atti di Convegno (Proceeding)
Esposito, Giuseppe; Magliano, Enrico; Scarano, Nicola; Ahmed-Eltaras, Tamer; ... (2025)
AI-based Classification of Intentional vs. Unintentional Corruptions in the Split Computing context. In: 2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS), Ischia, Naples, Italy, 7-9 July 2025, pp. 1-7. ISBN: 979-8-3315-3334-2
Contributo in Atti di Convegno (Proceeding)