Amir Ali Pour

According to our database, Amir Ali Pour authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence.

Amir Ali Pour, Sadra Bekrani, Laya Samizadeh, Julien Gascon-Samson

CoRR, April, 2025

A Hybrid LSTM-GRU Model for Stock Price Prediction.

Amirfarhad Farhadi, Azadeh Zamanifar, Amir Alipour, Alireza Taheri, Mohammad Asadolahi

IEEE Access, 2025

SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT.

Amir Ali Pour, Julien Gascon-Samson

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

2024

Leakage Model-flexible Deep Learning-based Side-channel Analysis.

Lichao Wu, Azade Rezaeezade, Amir Alipour, Guilherme Perin, Stjepan Picek

IACR Commun. Cryptol., 2024

PECMQ: Private and Encrypted Communications in IoT Systems Using PUFs and MQTT.

Amir Ali Pour, Julien Gascon-Samson

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024

MQTT2EdgePeer: a Robust and Scalable Brokerless Peer-to-Peer Edge Middleware for Topic-Based Publish/Subscribe.

Saeed Rahmani, Amir Ali Pour, Camille Coti, Julien Gascon-Samson

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023

Breaking Free: Leakage Model-free Deep Learning-based Side-channel Analysis.

Lichao Wu, Amir Alipour, Azade Rezaeezade, Guilherme Perin, Stjepan Picek

IACR Cryptol. ePrint Arch., 2023

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