Aritran Piplai

According to our database, Aritran Piplai authored at least 31 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey.

Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Waggler, Olukunle Kolade, Bolanle Hafiz Matti

CoRR, 2024

PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification.

Leon Garza, Lavanya Elluri, Anantaa Kotal, Aritran Piplai, Deepti Gupta, Anupam Joshi

CoRR, 2024

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework.

Tosin Ige, Christopher Kiekintveld, Aritran Piplai

CoRR, 2024

LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge.

Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi

CoRR, 2024

Use of Graph Neural Networks in Aiding Defensive Cyber Operations.

Shaswata Mitra, Trisha Chakraborty, Subash Neupane, Aritran Piplai, Sudip Mittal

CoRR, 2024

Enhancing classroom teaching with LLMs and RAG.

Elizabeth Mullins, Adrian Portillo, Kristalys Ruiz-Rohena, Aritran Piplai

Proceedings of the 25th Annual Conference on Information Technology Education, 2024

An in-Depth Investigation Into the Performance of State-of-the-Art Zero-Shot, Single-Shot, and Few-Shot Learning Approaches on an Out-of-Distribution Zero-Day Malware Attack Detection.

Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Wagler, Olukunle Kolade, Bolanle Hafiz Matti

Proceedings of the International Symposium on Networks, Computers and Communications, 2024

Towards an in-Depth Evaluation of the Performance, Suitability and Plausibility of Few-Shot Meta Transfer Learning on An Unknown Out-of-Distribution Cyber-attack Detection.

Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Wagler, Olukunle Kolade, Bolanle Hafiz Matti

Proceedings of the International Symposium on Networks, Computers and Communications, 2024

An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey.

Tosin Ige, Christopher Kiekintveld, Aritran Piplai

Proceedings of the IEEE International Conference on Electro Information Technology, 2024

2023

Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy.

Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi

IEEE Internet Comput., 2023

Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy.

Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi

CoRR, 2023

Offline RL+CKG: A hybrid AI model for cybersecurity tasks.

Aritran Piplai, Anupam Joshi, Tim Finin

Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023

2022

Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses.

Aritran Piplai, Mike Anoruo, Kayode Fasaye, Anupam Joshi, Tim Finin, Ahmad Ridley

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

PriveTAB: Secure and Privacy-Preserving sharing of Tabular Data.

Anantaa Kotal, Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi

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.

Lavanya Elluri, Aritran Piplai, Anantaa Kotal, Anupam Joshi, Karuna Pande Joshi

Frontiers Big Data, 2021

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models.

Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin

Proceedings of the International Joint Conference on Neural Networks, 2021

CyBERT: Contextualized Embeddings for the Cybersecurity Domain.

Priyanka Ranade, Aritran Piplai, Anupam Joshi, Tim Finin

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs.

Shaswata Mitra, Aritran Piplai, Sudip Mittal, Anupam Joshi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Cybersecurity Knowledge Graph Improvement with Graph Neural Networks.

Soham Dasgupta, Aritran Piplai, Priyanka Ranade, Anupam Joshi

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.

Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali

CoRR, 2020

Creating Cybersecurity Knowledge Graphs From Malware After Action Reports.

Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin, James Holt, Richard Zak

IEEE Access, 2020

Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior.

Aritran Piplai, Sudip Mittal, Mahmoud Abdelsalam, Maanak Gupta, Anupam Joshi, Tim Finin

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.

Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi

Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

A Smart-Farming Ontology for Attribute Based Access Control.

Sai Sree Laya Chukkapalli, Aritran Piplai, Sudip Mittal, Maanak Gupta, Anupam Joshi

Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Using Knowledge Graphs and Reinforcement Learning for Malware Analysis.

Aritran Piplai, Priyanka Ranade, Anantaa Kotal, Sudip Mittal, Sandeep Nair Narayanan, Anupam Joshi

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.

Soham Dasgupta, Aritran Piplai, Anantaa Kotal, Anupam Joshi

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Preventing Poisoning Attacks On AI Based Threat Intelligence Systems.

Nitika Khurana, Sudip Mittal, Aritran Piplai, Anupam Joshi

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.

Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak

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.

Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das

CoRR, 2016

2014

A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images.

Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das

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.

Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013