An Adaptive Differential Evolution Based Fuzzy Approach for Edge Detection in Color and Grayscale Images. - Satrajit Mukherjee; Bodhisattwa Prasad Majumder; Aritran Piplai; Swagatam Das (SEMCCO (1), 2013)

A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images. - Satrajit Mukherjee; Bodhisattwa Prasad Majumder; Aritran Piplai; Swagatam Das (FUZZ-IEEE, 2014)

Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation. - Satrajit Mukherjee; Bodhisattwa Prasad Majumder; Aritran Piplai; Swagatam Das (CoRR, 2016)

RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement. - Aditya Pingle; Aritran Piplai; Sudip Mittal; Anupam Joshi; James Holt; Richard Zak (ASONAM, 2019)

Preventing Poisoning Attacks On AI Based Threat Intelligence Systems. - Nitika Khurana; Sudip Mittal; Aritran Piplai; Anupam Joshi (MLSP, 2019)

A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity. - Soham Dasgupta; Aritran Piplai; Anantaa Kotal; Anupam Joshi (IEEE BigData, 2020)

Using Knowledge Graphs and Reinforcement Learning for Malware Analysis. - Aritran Piplai; Priyanka Ranade; Anantaa Kotal; Sudip Mittal; Sandeep Nair Narayanan; Anupam Joshi (IEEE BigData, 2020)

A Smart-Farming Ontology for Attribute Based Access Control. - Sai Sree Laya Chukkapalli; Aritran Piplai; Sudip Mittal; Maanak Gupta; Anupam Joshi (BigDataSecurity/HPSC/IDS, 2020)

NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion. - Aritran Piplai; Sai Sree Laya Chukkapalli; Anupam Joshi (BigDataSecurity/HPSC/IDS, 2020)

Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior. - Aritran Piplai; Sudip Mittal; Mahmoud Abdelsalam; Maanak Gupta; Anupam Joshi; Tim Finin (ISI, 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)

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)

Cybersecurity Knowledge Graph Improvement with Graph Neural Networks. - Soham Dasgupta; Aritran Piplai; Priyanka Ranade; Anupam Joshi (IEEE BigData, 2021)

Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs. - Shaswata Mitra; Aritran Piplai; Sudip Mittal; Anupam Joshi (IEEE BigData, 2021)

CyBERT: Contextualized Embeddings for the Cybersecurity Domain. - Priyanka Ranade; Aritran Piplai; Anupam Joshi; Tim Finin (IEEE BigData, 2021)

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. - Priyanka Ranade; Aritran Piplai; Sudip Mittal; Anupam Joshi; Tim Finin (IJCNN, 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)

PriveTAB: Secure and Privacy-Preserving sharing of Tabular Data. - Anantaa Kotal; Aritran Piplai; Sai Sree Laya Chukkapalli; Anupam Joshi (IWSPA@CODASPY, 2022)

Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses. - Aritran Piplai; Mike Anoruo; Kayode Fasaye; Anupam Joshi; Tim Finin; Ahmad Ridley (ICMLA, 2022)

Offline RL+CKG: A hybrid AI model for cybersecurity tasks. - Aritran Piplai; Anupam Joshi; Tim Finin (AAAI Spring Symposium: MAKE, 2023)

Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy. - Aritran Piplai; Anantaa Kotal; Seyedreza Mohseni; Manas Gaur; Sudip Mittal; Anupam Joshi (CoRR, 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)

Towards Building Generalizable Models for Malware Detection. - Jihoon Shin; Emilia Rivas; Daniel Lucio; Aritran Piplai; Lavanya Elluri (IEEE Big Data, 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 (EIT, 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 001 (FPS (2), 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 (ISNCC, 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 (ISNCC, 2024)

Enhancing classroom teaching with LLMs and RAG. - Elizabeth Mullins; Adrian Portillo; Kristalys Ruiz-Rohena; Aritran Piplai (SIGITE, 2024)

PrivComp-KG: Leveraging KG and LLM for Compliance Verification. - Leon Garza; Lavanya Elluri; Aritran Piplai; Anantaa Kotal; Deepti Gupta; Anupam Joshi (TPS-ISA, 2024)

Use of Graph Neural Networks in Aiding Defensive Cyber Operations. - Shaswata Mitra; Trisha Chakraborty; Subash Neupane; Aritran Piplai; Sudip Mittal (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)

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)

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)

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security. - Emilia Rivas; Sabrina Saika; Ahtesham Bakht; Aritran Piplai; Nathaniel D. Bastian; Ankit Shah 002 (SECRYPT, 2025)

Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings. - Ivan Montoya Sanchez; Shaswata Mitra; Aritran Piplai; Sudip Mittal (CoRR, 2025)

Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability. - Shova Kuikel; Aritran Piplai; Palvi Aggarwal (CoRR, 2025)

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection. - Md Tanvirul Alam; Aritran Piplai; Nidhi Rastogi (CoRR, 2025)

PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction. - Leon Garza; Anantaa Kotal; Aritran Piplai; Lavanya Elluri; Prajit Das; Aman Chadha (CoRR, 2025)