Farzad Nikfam

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36^th cycle (2020-2023)

Ph.D. obtained in 2024

Dissertation:

Security and Privacy in Artificial Intelligence (Abstract)

Tutors:

Maurizio Martina

Profile

Research topic

Fast Adversarial Training and Privacy Preserving

Research interests

Big Data, Machine Learning, Neural Networks and Data Science

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

MostraNascondi A.A. passati

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