
Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
Security and Privacy in Artificial Intelligence (Abstract)
Tutors:
Maurizio MartinaProfile
Research topic
Fast Adversarial Training and Privacy Preserving
Research interests
Biography
Teaching
Teachings
Master of Science
- Electronics Fundamentals and Applications. A.A. 2021/22, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Electronics Fundamentals and Applications. A.A. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Electronics Fundamentals and Applications. A.A. 2023/24, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Nikfam, Farzad (2024)
Security and Privacy in Artificial Intelligence. relatore: MARTINA, MAURIZIO; Shafique, Muhammad, 36. XXXVI Ciclo, P.: 117
Doctoral Thesis - Nikfam, Farzad; Casaburi, Raffaele; Marchisio, Alberto; Martina, Maurizio; Shafique, ... (2023)
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. In: INFORMATION, vol. 14. ISSN 2078-2489
Contributo su Rivista - Nikfam, Farzad; Marchisio, Alberto; Martina, Maurizio; Shafique, Muhammad (2022)
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. In: IEEE ACCESS, vol. 10, pp. 108997-109007. ISSN 2169-3536
Contributo su Rivista