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 (DATE, 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 (ETS, 2020)

Machine Learning and Hardware security: Challenges and Opportunities -Invited Talk-. - Francesco Regazzoni 001; Shivam Bhasin; Amir Alipour; Ihab Alshaer; Furkan Aydin; Aydin Aysu; Vincent Beroulle; Giorgio Di Natale; Paul D. Franzon; David Hély; Naofumi Homma; Akira Ito 002; et al. (ICCAD, 2020)

Elaborating on Sub-Space Modeling as an Enrollment Solution for Strong PUF. - Amir Ali Pour; David Hély; Vincent Beroulle; Giorgio Di Natale (DCOSS, 2022)

Sub-Space Modeling: An Enrollment Solution for XOR Arbiter PUF using Machine Learning. - Amir Ali Pour; David Hély; Vincent Beroulle; Giorgio Di Natale (ISQED, 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 (ISQED, 2022)

Secure PUF-based Authentication and Key Exchange Protocol using Machine Learning. - Amir Ali Pour; Fatemeh Afghah; David Hély; Vincent Beroulle; Giorgio Di Natale (ISVLSI, 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)

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)

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 (CCGrid, 2024)

PECMQ: Private and Encrypted Communications in IoT Systems Using PUFs and MQTT. - Amir Ali Pour; Julien Gascon-Samson (ICDCSW, 2024)

Leakage Model-flexible Deep Learning-based Side-channel Analysis. - Lichao Wu; Azade Rezaeezade; Amir Alipour; Guilherme Perin; Stjepan Picek (IACR Commun. Cryptol., 2024)

SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT. - Amir Ali Pour; Julien Gascon-Samson (IPDPS (Workshops), 2025)

A Hybrid LSTM-GRU Model for Stock Price Prediction. - Amirfarhad Farhadi; Azadeh Zamanifar; Amir Alipour; Alireza Taheri; Mohammad Asadolahi (IEEE Access, 2025)

Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence. - Amir Ali Pour; Sadra Bekrani; Laya Samizadeh; Julien Gascon-Samson (CoRR, 2025)