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Sheila Alemany
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2020 – today
- 2024
- [c10]Sheila Alemany, Niki Pissinou, Brian Yang:
Increasing Adversarial Robustness Around Uncertain Boundary Regions with Amodal Segmentation. ICMLA 2024: 1885-1891 - [c9]Sheila Alemany, Emma Worthington, Alberto Luis Dominguez, Ilan Grapel, Niki Pissinou:
Unifying Robust Activation Functions for Reduced Adversarial Vulnerability with the Parametric Generalized Gamma Function. ICMLA 2024: 1892-1899 - 2023
- [c8]Sheila Alemany, Alberto Luis Dominguez, Ilan Grapel, Niki Pissinou:
Towards Parametric Robust Activation Functions in Adversarial Machine Learning. Tiny Papers @ ICLR 2023 - 2022
- [c7]Sheila Alemany, Niki Pissinou:
The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems. SafeAI@AAAI 2022 - 2021
- [c6]Sheila Alemany, Jason Nucciarone, Niki Pissinou:
Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning Analysis. IEEE BigData 2021: 3663-3670 - 2020
- [i2]Sheila Alemany, Niki Pissinou:
The Dilemma Between Dimensionality Reduction and Adversarial Robustness. CoRR abs/2006.10885 (2020)
2010 – 2019
- 2019
- [c5]Sheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried:
Predicting Hurricane Trajectories Using a Recurrent Neural Network. AAAI 2019: 468-475 - [c4]Abdur R. Shahid, Niki Pissinou, Laurent Njilla, Sheila Alemany, Ahmed Imteaj
, Kia Makki, Edwin Aguilar:
Quantifying location privacy in permissioned blockchain-based internet of things (IoT). MobiQuitous 2019: 116-125 - 2018
- [c3]Concepcion Sanchez Aleman, Niki Pissinou, Sheila Alemany, Georges A. Kamhoua:
Using Candlestick Charting and Dynamic Time Warping for Data Behavior Modeling and Trend Prediction for MWSN in IoT. IEEE BigData 2018: 2884-2889 - [c2]Concepcion Sanchez Aleman, Niki Pissinou, Sheila Alemany, Kianoosh G. Boroojeni, Jerry Miller, Ziqian Ding:
Context-Aware Data Cleaning for Mobile Wireless Sensor Networks: A Diversified Trust Approach. ICNC 2018: 226-230 - [c1]Concepcion Sanchez Aleman, Niki Pissinou, Sheila Alemany, Georges A. Kamhoua:
A Dynamic Trust Weight Allocation Technique for Data Reconstruction in Mobile Wireless Sensor Networks. TrustCom/BigDataSE 2018: 61-67 - [i1]Sheila Alemany, Jonathan Beltran, Adrián Pérez, Sam Ganzfried:
Predicting Hurricane Trajectories using a Recurrent Neural Network. CoRR abs/1802.02548 (2018)
Coauthor Index

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