| 2024 | ICMLA | Increasing Adversarial Robustness Around Uncertain Boundary Regions with Amodal Segmentation. | Sheila Alemany, Niki Pissinou, Brian Yang |
| 2024 | ICMLA | Unifying Robust Activation Functions for Reduced Adversarial Vulnerability with the Parametric Generalized Gamma Function. | Sheila Alemany, Emma Worthington, Alberto Luis Dominguez, Ilan Grapel, Niki Pissinou |
| 2023 | ICLR | Towards Parametric Robust Activation Functions in Adversarial Machine Learning. | Sheila Alemany, Alberto Luis Dominguez, Ilan Grapel, Niki Pissinou |
| 2022 | AAAI | The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems. | Sheila Alemany, Niki Pissinou |
| 2019 | AAAI | Predicting Hurricane Trajectories Using a Recurrent Neural Network. | Sheila Alemany, Jonathan Beltran, Adrin Prez, Sam Ganzfried |
| 2019 | Mobiquitous | Quantifying location privacy in permissioned blockchain-based internet of things (IoT). | Abdur Rahman Bin Shahid, Niki Pissinou, Laurent Njilla, Sheila Alemany, Ahmed Imteaj, Kia Makki, Edwin Aguilar |
| 2018 | TrustCom | A Dynamic Trust Weight Allocation Technique for Data Reconstruction in Mobile Wireless Sensor Networks. | Concepcion Sanchez Aleman, Niki Pissinou, Sheila Alemany, Georges A. Kamhoua |