Taha Belkhouja

Orcid: 0000-0001-8749-6632

According to our database1, Taha Belkhouja authored at least 21 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Sensor-Aware Data Imputation for Time-Series Machine Learning on Low-Power Wearable Devices.
ACM Trans. Design Autom. Electr. Syst., 2025

2024
Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach.
ACM Trans. Intell. Syst. Technol., February, 2024

Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration.
CoRR, 2024

Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Dynamic Time Warping Based Adversarial Framework for Time-Series Domain.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Probabilistically robust conformal prediction.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Energy-Efficient Missing Data Recovery in Wearable Devices: A Novel Search-Based Approach.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features.
J. Artif. Intell. Res., 2022

Reliable Machine Learning for Wearable Activity Monitoring: Novel Algorithms and Theoretical Guarantees.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Analyzing Deep Learning for Time-Series Data Through Adversarial Lens in Mobile and IoT Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Sequential Encryption for Multiple Implantable Medical Devices.
Proceedings of the International Conference on Communications, 2020

2019
Biometric-based authentication scheme for Implantable Medical Devices during emergency situations.
Future Gener. Comput. Syst., 2019

Role-Based Hierarchical Medical Data Encryption for Implantable Medical Devices.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Symmetric Encryption Relying on Chaotic Henon System for Secure Hardware-Friendly Wireless Communication of Implantable Medical Systems.
J. Sens. Actuator Networks, 2018

Salt Generation for Hashing Schemes based on ECG readings for Emergency Access to Implantable Medical Devices.
Proceedings of the 2018 International Symposium on Networks, Computers and Communications, 2018

Light-Weight Solution to Defend Implantable Medical Devices against Man-In-The-Middle Attack.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Light-weight encryption of wireless communication for implantable medical devices using henon chaotic system (invited paper).
Proceedings of the International Conference on Wireless Networks and Mobile Communications, 2017

New Plain-Text Authentication Secure Scheme for Implantable Medical Devices with Remote Control.
Proceedings of the 2017 IEEE Global Communications Conference, 2017


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