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ORCIDR. G. Gayathri
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2020 – today
- 2024
[j2]R. G. Gayathri
, Atul Sajjanhar, Yong Xiang:
Hybrid deep learning model using SPCAGAN augmentation for insider threat analysis. Expert Syst. Appl. 249: 123533 (2024)- [i4]R. G. Gayathri, Atul Sajjanhar, Md. Palash Uddin, Yong Xiang:
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection. CoRR abs/2409.13083 (2024) - 2022
- [c3]R. G. Gayathri, Atul Sajjanhar, Yong Xiang:
Adversarial Training for Robust Insider Threat Detection. IJCNN 2022: 1-8 - [i3]R. G. Gayathri, Atul Sajjanhar, Yong Xiang:
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis. CoRR abs/2203.02855 (2022) - 2021
- [c2]R. G. Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma:
Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data. TrustCom 2021: 718-725 - [i2]R. G. Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma:
Multi-class Classification Based Anomaly Detection of Insider Activities. CoRR abs/2102.07277 (2021)
2010 – 2019
- 2019
- [i1]R. G. Gayathri, Atul Sajjanhar, Yong Xiang:
Image-Based Feature Representation for Insider Threat Classification. CoRR abs/1911.05879 (2019) - 2018
- [j1]R. G. Gayathri, Jyothisha J. Nair:
ex-FTCD: A novel mapreduce model for distributed multi source shortest path problem. J. Intell. Fuzzy Syst. 34(3): 1643-1652 (2018) - 2017
- [c1]Sakshi Vaid, Rene Salih, R. G. Gayathri, Jyothisha J. Nair:
All pair shortest path using distributed architectures. ICACCI 2017: 2000-2004
Coauthor Index
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