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ORCIDGodwin Badu-Marfo
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2020 – today
- 2024
[j4]Marius Hobart
, Michael Schirrmann, Abdul-Halim Abubakari, Godwin Badu-Marfo, Simone Kraatz, Mohammad Zare:
Drought Monitoring and Prediction in Agriculture: Employing Earth Observation Data, Climate Scenarios and Data Driven Methods; a Case Study: Mango Orchard in Tamale, Ghana. Remote. Sens. 16(11): 1942 (2024)- [c4]Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq:
Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems. VTC Spring 2024: 1-7 - [i9]Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq:
Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems. CoRR abs/2403.09531 (2024) - 2023
- [j3]Ranwa Al Mallah, David López, Godwin Badu-Marfo, Bilal Farooq:
Untargeted Poisoning Attack Detection in Federated Learning via Behavior AttestationAl. IEEE Access 11: 125064-125079 (2023) - [c3]Ranwa Al Mallah, Brian Lachine, Godwin Badu-Marfo:
Security of SDN in an Adversarial Setting: The DDoS Case. GCAIoT 2023: 53-58 - 2022
- [j2]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. IEEE Trans. Intell. Transp. Syst. 23(10): 17976-17985 (2022) - [c2]Daniel Opoku Mensah, Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq:
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference. ISC2 2022: 1-7 - [i8]Daniel Opoku Mensah, Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq:
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference. CoRR abs/2205.05756 (2022) - [i7]Daniel Opoku Mensah, Godwin Badu-Marfo, Bilal Farooq:
Robustness Analysis of Deep Learning Models for Population Synthesis. CoRR abs/2211.13339 (2022) - 2021
- [j1]Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
On the Initial Behavior Monitoring Issues in Federated Learning. IEEE Access 9: 161046-161054 (2021) - [c1]Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems. IV Workshops 2021: 13-18 - [i6]Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems. CoRR abs/2102.13256 (2021) - [i5]Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
On the Initial Behavior Monitoring Issues in Federated Learning. CoRR abs/2109.05385 (2021) - 2020
- [i4]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. CoRR abs/2004.06838 (2020) - [i3]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis. CoRR abs/2012.14574 (2020)
2010 – 2019
- 2019
- [i2]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys. CoRR abs/1901.07155 (2019) - 2018
- [i1]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. CoRR abs/1811.09486 (2018)
Coauthor Index
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