Aritran Piplai

According to our database1, Aritran Piplai authored at least 18 papers between 2013 and 2022.

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Bibliography

2022
PriveTAB: Secure and Privacy-Preserving sharing of Tabular Data.
Proceedings of the IWSPA@CODASPY 2022: Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics, 2022

2021
A Policy-Driven Approach to Secure Extraction of COVID-19 Data From Research Papers.
Frontiers Big Data, 2021

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models.
Proceedings of the International Joint Conference on Neural Networks, 2021

CyBERT: Contextualized Embeddings for the Cybersecurity Domain.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Cybersecurity Knowledge Graph Improvement with Graph Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19.
CoRR, 2020

Creating Cybersecurity Knowledge Graphs From Malware After Action Reports.
IEEE Access, 2020

Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

A Smart-Farming Ontology for Attribute Based Access Control.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Using Knowledge Graphs and Reinforcement Learning for Malware Analysis.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Preventing Poisoning Attacks On AI Based Threat Intelligence Systems.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2016
Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation.
CoRR, 2016

2014
A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
An Adaptive Differential Evolution Based Fuzzy Approach for Edge Detection in Color and Grayscale Images.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013


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