Browse by Relators
![[up]](/style/images/multi_up.png)
Up a levelGroup by: Date | No Grouping
Number of items: 8.
25 October 2019
-
Beatrice Bussolino.
Capsule Networks: Training and Quantized Inference.
Rel. Maurizio Martina, Guido Masera, Muhammad Shafique. Politecnico di Torino, Master of science program in Electronic Engineering, 2019
26 March 2020
-
Farzad Nikfam.
Fast Adversarial Training for Deep Neural Networks.
Rel. Maurizio Martina, Muhammad Shafique. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2020
Preview
27 March 2020
-
Riccardo Massa.
Efficient Implementation of Spiking Neural Networks on the Loihi Neuromorphic Processor.
Rel. Maurizio Martina, Muhammad Shafique. Politecnico di Torino, Master of science program in Electronic Engineering, 2020
Preview
1 April 2020
-
Giuseppe Maria Sarda.
Approximating Deep Convolutional Neural Networks through Bit-level Masking of Network Parameters.
Rel. Guido Masera, Maurizio Martina, Muhammad Shafique. Politecnico di Torino, Master of science program in Electronic Engineering, 2020
Preview
-
Antonio De Marco.
Capsule Networks Robustness against Adversarial Attacks and Affine Transformations.
Rel. Maurizio Martina, Muhammad Shafique. Politecnico di Torino, Master of science program in Electronic Engineering, 2020
Preview
-
Valerio Venceslai.
Fault-Injection and Neural Trojan Attacks on Spiking Neural Networks.
Rel. Maurizio Martina, Muhammad Shafique. Politecnico di Torino, Master of science program in Electronic Engineering, 2020
Preview
27 July 2021
-
Giovanni Caramia.
Adversarial Attacks for Convolutional Neural Networks and Capsule Networks.
Rel. Maurizio Martina, Andreas Steininger, Muhammad Shafique. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2021
Preview
-
Alberto Viale.
Efficient Implementation of Spiking Neural Networks on the Loihi Neuromorphic Processor for Autonomous Driving Problems.
Rel. Guido Masera, Maurizio Martina, Alberto Marchisio, Muhammad Shafique. Politecnico di Torino, Master of science program in Electronic Engineering, 2021
