46 citations · 47 across the 3 of their papers we have counts for
3 papers
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks
Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh +4
Machine-learning architectures, such as Convolutional Neural Networks (CNNs) are vulnerable to adversarial attacks: inputs crafted carefully to force the system output to a wrong l…
Defensive Approximation: Securing CNNs using Approximate Computing
Amira Guesmi, Ihsen Alouani, Khaled Khasawneh +4
In the past few years, an increasing number of machine-learning and deep learning structures, such as Convolutional Neural Networks (CNNs), have been applied to solving a wide rang…
Mppsocgen: A framework for automatic generation of mppsoc architecture
Emna Kallel, Yassine Aoudni, Mouna Baklouti +1
Automatic code generation is a standard method in software engineering since it improves the code consistency and reduces the overall development time. In this context, this paper…