15 citations · 35 across the 27 of their papers we have counts for
5 papers · 1 filter
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil +1
Directly training spiking neural networks (SNNs) has remained challenging due to complex neural dynamics and intrinsic non-differentiability in firing functions. The well-known bac…
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering
Amir Hosein Afandizadeh Zargari, Marzieh AshrafiAmiri, Minjun Seo +3
Reverse engineering (RE) in Integrated Circuits (IC) is a process in which one will attempt to extract the internals of an IC, extract the circuit structure, and determine the gate…
In-memory Multi-valued Associative Processor
Mira Hout, Mohammed E. Fouda, Rouwaida Kanj +1
In-memory associative processor architectures are offered as a great candidate to overcome memory-wall bottleneck and to enable vector/parallel arithmetic operations. In this paper…
Efficient Noise Mitigation Technique for Quantum Computing
Ali Shaib, Mohamad H. Naim, Mohammed E. Fouda +2
Quantum computers have enabled solving problems beyond the current computers' capabilities. However, this requires handling noise arising from unwanted interactions in these system…
Resistive Neural Hardware Accelerators
Kamilya Smagulova, Mohammed E. Fouda, Fadi Kurdahi +2
Deep Neural Networks (DNNs), as a subset of Machine Learning (ML) techniques, entail that real-world data can be learned and that decisions can be made in real-time. However, their…