Amir Ali Pour

According to our database, Amir Ali Pour authored at least 8 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Helper Data Masking for Physically Unclonable Function-Based Key Generation Algorithms.

Amir Ali Pour, Fatemeh Afghah, David Hély, Vincent Beroulle, Giorgio Di Natale, Ashwija Reddy Korenda, Bertrand Cambou

IEEE Access, 2022

Secure PUF-based Authentication and Key Exchange Protocol using Machine Learning.

Amir Ali Pour, Fatemeh Afghah, David Hély, Vincent Beroulle, Giorgio Di Natale

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

An Efficient Approach to Model Strong PUF with Multi-Layer Perceptron using Transfer Learning.

Amir Ali Pour, David Hély, Vincent Beroulle, Giorgio Di Natale

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Sub-Space Modeling: An Enrollment Solution for XOR Arbiter PUF using Machine Learning.

Amir Ali Pour, David Hély, Vincent Beroulle, Giorgio Di Natale

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Elaborating on Sub-Space Modeling as an Enrollment Solution for Strong PUF.

Amir Ali Pour, David Hély, Vincent Beroulle, Giorgio Di Natale

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

2020

Machine Learning and Hardware security: Challenges and Opportunities -Invited Talk-.

Francesco Regazzoni, Shivam Bhasin, Amir Alipour, Ihab Alshaer, Furkan Aydin, Aydin Aysu, Vincent Beroulle, Giorgio Di Natale, Paul D. Franzon, David Hély, Naofumi Homma, Akira Ito, Dirmanto Jap, Priyank Kashyap, Ilia Polian, Seetal Potluri, Rei Ueno, Elena Ioana Vatajelu, Ville Yli-Mäyry

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

PUF Enrollment and Life Cycle Management: Solutions and Perspectives for the Test Community.

Amir Alipour, Vincent Beroulle, Bertrand Cambou, Jean-Luc Danger, Giorgio Di Natale, David Hély, Sylvain Guilley, Naghmeh Karimi

Proceedings of the IEEE European Test Symposium, 2020

On the Performance of Non-Profiled Differential Deep Learning Attacks against an AES Encryption Algorithm Protected using a Correlated Noise Generation based Hiding Countermeasure.

Amir Alipour, Athanasios Papadimitriou, Vincent Beroulle, Ehsan Aerabi, David Hély

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020