ΔNN: Power-Efficient Neural Network Acceleration Using Differential Weights. - Hoda Mahdiani; Alireza Khadem; Azam Ghanbari; Mehdi Modarressi; Farima Fattahi-Bayat; Masoud Daneshtalab (IEEE Micro, 2020)

Multi-Precision Deep Neural Network Acceleration on FPGAs. - Negar Neda; Salim Ullah; Azam Ghanbari; Hoda Mahdiani; Mehdi Modarressi; Akash Kumar 001 (ASP-DAC, 2022)

Energy-efficient acceleration of convolutional neural networks using computation reuse. - Azam Ghanbari; Mehdi Modarressi (J. Syst. Archit., 2022)

Thor: A Non-Speculative Value Dependent Timing Side Channel Attack Exploiting Intel AMX. - Farshad Dizani; Azam Ghanbari; Joshua Kalyanapu; Darsh Asher; Samira Mirbagher Ajorpaz (IEEE Comput. Archit. Lett., 2025)

Exploiting Intel AMX Power Gating. - Joshua Kalyanapu; Farshad Dizani; Azam Ghanbari; Darsh Asher; Samira Mirbagher Ajorpaz (IEEE Comput. Archit. Lett., 2025)

GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI. - Joshua Kalyanapu; Farshad Dizani; Darsh Asher; Azam Ghanbari; Rosario Cammarota; Aydin Aysu; Samira Mirbagher Ajorpaz (CoRR, 2025)