ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations

2 December 2019

Papers citing "ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations"

4 / 4 papers shown

Title
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks Alberto Marchisio Antonio De Marco Alessio Colucci Maurizio Martina Mohamed Bennai AAML 27 2 0 08 Apr 2023
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks E. Trommer Bernd Waschneck Akash Kumar 23 6 0 15 Aug 2022
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? Ayesha Siddique K. A. Hoque AAML 37 6 0 02 Dec 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 61 140 0 21 Dec 2020