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97 papers · 1 filter
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio +3
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to au…
Chromatic periodic activity down to 120 MHz in a Fast Radio Burst
Inés Pastor-Marazuela, Liam Connor, Joeri van Leeuwen +34
Fast radio bursts (FRBs) are extragalactic astrophysical transients whose brightness requires emitters that are highly energetic, yet compact enough to produce the short, milliseco…
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Rida El-Allami, Alberto Marchisio, Muhammad Shafique +1
Deep Learning (DL) algorithms have gained popularity owing to their practical problem-solving capacity. However, they suffer from a serious integrity threat, i.e., their vulnerabil…
Non-Boussinesq low-Prandtl number convection with a temperature-dependent thermal diffusivity
Ambrish Pandey, Jörg Schumacher, Katepalli R. Sreenivasan
In an attempt to understand the role of the strong radial dependence of thermal diffusivity on the properties of convection in sun-like stars, we mimic that effect in non-Oberbeck-…
Deep Learning Blazar Classification based on Multi-frequency Spectral Energy Distribution Data
Bernardo M. O. Fraga, Ulisses Barres de Almeida, Clecio R. Bom +4
Blazars are among the most studied sources in high-energy astrophysics as they form the largest fraction of extragalactic gamma-ray sources and are considered prime candidates for…
UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking
Lilas Alrahis, Satwik Patnaik, Johann Knechtel +4
Logic locking aims to protect the intellectual property (IP) of integrated circuit (IC) designs throughout the globalized supply chain. The SAIL attack, based on tailored machine l…