Aritran Piplai

59 papers A 1B 8C 5Misc 1Journal 28Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents. CoRR Ondrej Lukás, Jihoon Shin, Emilia Rivas, Diego Forni, Maria Rigaki, Carlos Adrián Catania, Aritran Piplai, Christopher Kiekintveld, Sebastián García
2026	J	`jnl`	Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs. CoRR Md Tanvirul Alam, Aritran Piplai, Ionut Cardei, Nidhi Rastogi, Peter Worth Jr.
2025	A	`conf`	ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection. RAID Md Tanvirul Alam, Aritran Piplai, Nidhi Rastogi
2025	J	`jnl`	ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection. CoRR Md Tanvirul Alam, Aritran Piplai, Nidhi Rastogi
2025	C	`conf`	Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security. SECRYPT Emilia Rivas, Sabrina Saika, Ahtesham Bakht, Aritran Piplai, Nathaniel D. Bastian, Ankit Shah
2025	J	`jnl`	Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security. CoRR Emilia Rivas, Sabrina Saika, Ahtesham Bakht, Aritran Piplai, Nathaniel D. Bastian, Ankit Shah
2025	—	`conf`	AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios. ACSAC Workshops Ana M. Rodriguez, Jaime Acosta, Anantaa Kotal, Aritran Piplai
2025	J	`jnl`	AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios. CoRR Ana M. Rodriguez, Jaime Acosta, Anantaa Kotal, Aritran Piplai
2025	B	`conf`	Empathy by Design: Aligning Large Language Models for Healthcare Dialogue. IEEE Big Data Emre Umucu, Guillermina Solis, Leon Garza, Emilia Rivas, Beatrice Lee, Anantaa Kotal, Aritran Piplai
2025	J	`jnl`	Empathy by Design: Aligning Large Language Models for Healthcare Dialogue. CoRR Emre Umucu, Guillermina Solis, Leon Garza, Emilia Rivas, Beatrice Lee, Anantaa Kotal, Aritran Piplai
2025	J	`jnl`	Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability. CoRR Shova Kuikel, Aritran Piplai, Palvi Aggarwal
2025	J	`jnl`	FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation. CoRR Shaswata Mitra, Azim Bazarov, Martin Duclos, Sudip Mittal, Aritran Piplai, Md. Rayhanur Rahman, Edward Zieglar, Shahram Rahimi
2025	B	`conf`	ImpuGAN: Learning Conditional Generative Models for Robust Data Imputation. IEEE Big Data Zalish Mahmud, Anantaa Kotal, Aritran Piplai
2025	J	`jnl`	Impugan: Learning Conditional Generative Models for Robust Data Imputation. CoRR Zalish Mahmud, Anantaa Kotal, Aritran Piplai
2025	B	`conf`	MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification. TrustCom Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli
2025	J	`jnl`	MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification. CoRR Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli
2025	—	`conf`	PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction. TPS-ISA Leon Garza, Anantaa Kotal, Aritran Piplai, Lavanya Elluri, Prajit Kumar Das, Aman Chadha
2025	J	`jnl`	PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction. CoRR Leon Garza, Anantaa Kotal, Aritran Piplai, Lavanya Elluri, Prajit Kumar Das, Aman Chadha
2025	B	`conf`	Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings. IJCNN Ivan Montoya Sanchez, Shaswata Mitra, Aritran Piplai, Sudip Mittal
2025	J	`jnl`	Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings. CoRR Ivan Montoya Sanchez, Shaswata Mitra, Aritran Piplai, Sudip Mittal
2024	—	`conf`	An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey. EIT Tosin Ige, Christopher Kiekintveld, Aritran Piplai
2024	J	`jnl`	An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey. CoRR Tosin Ige, Christopher Kiekintveld, Aritran Piplai
2024	C	`conf`	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. ISNCC Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Wagler, Olukunle Kolade, Bolanle Hafiz Matti
2024	J	`jnl`	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. CoRR Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Waggler, Olukunle Kolade, Bolanle Hafiz Matti
2024	J	`jnl`	Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework. CoRR Tosin Ige, Christopher Kiekintveld, Aritran Piplai
2024	Misc	`conf`	Enhancing classroom teaching with LLMs and RAG. SIGITE Elizabeth Mullins, Adrian Portillo, Kristalys Ruiz-Rohena, Aritran Piplai
2024	J	`jnl`	Enhancing classroom teaching with LLMs and RAG. CoRR Elizabeth Mullins, Adrian Portillo, Kristalys Ruiz-Rohena, Aritran Piplai
2024	J	`jnl`	LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. CoRR Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi
2024	—	`conf`	LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. FPS (2) Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi
2024	J	`jnl`	PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification. CoRR Leon Garza, Lavanya Elluri, Anantaa Kotal, Aritran Piplai, Deepti Gupta, Anupam Joshi
2024	—	`conf`	PrivComp-KG: Leveraging KG and LLM for Compliance Verification. TPS-ISA Leon Garza, Lavanya Elluri, Aritran Piplai, Anantaa Kotal, Deepti Gupta, Anupam Joshi
2024	B	`conf`	Towards Building Generalizable Models for Malware Detection. IEEE Big Data Jihoon Shin, Emilia Rivas, Daniel Lucio, Aritran Piplai, Lavanya Elluri
2024	C	`conf`	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. ISNCC Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Wagler, Olukunle Kolade, Bolanle Hafiz Matti
2024	J	`jnl`	Use of Graph Neural Networks in Aiding Defensive Cyber Operations. CoRR Shaswata Mitra, Trisha Chakraborty, Subash Neupane, Aritran Piplai, Sudip Mittal
2023	J	`jnl`	Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy. IEEE Internet Comput. Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi
2023	J	`jnl`	Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy. CoRR Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi
2023	—	`conf`	Offline RL+CKG: A hybrid AI model for cybersecurity tasks. AAAI Spring Symposium: MAKE Aritran Piplai, Anupam Joshi, Tim Finin
2022	C	`conf`	Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses. ICMLA Aritran Piplai, Mike Anoruo, Kayode Fasaye, Anupam Joshi, Tim Finin, Ahmad Ridley
2022	—	`conf`	PriveTAB: Secure and Privacy-Preserving sharing of Tabular Data. IWSPA@CODASPY Anantaa Kotal, Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi
2021	J	`jnl`	A Policy-Driven Approach to Secure Extraction of COVID-19 Data From Research Papers. Frontiers Big Data Lavanya Elluri, Aritran Piplai, Anantaa Kotal, Anupam Joshi, Karuna Pande Joshi
2021	—	`conf`	Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs. IEEE BigData Shaswata Mitra, Aritran Piplai, Sudip Mittal, Anupam Joshi
2021	—	`conf`	CyBERT: Contextualized Embeddings for the Cybersecurity Domain. IEEE BigData Priyanka Ranade, Aritran Piplai, Anupam Joshi, Tim Finin
2021	—	`conf`	Cybersecurity Knowledge Graph Improvement with Graph Neural Networks. IEEE BigData Soham Dasgupta, Aritran Piplai, Priyanka Ranade, Anupam Joshi
2021	B	`conf`	Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. IJCNN Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin
2021	J	`jnl`	Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. CoRR Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin
2020	—	`conf`	A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity. IEEE BigData Soham Dasgupta, Aritran Piplai, Anantaa Kotal, Anupam Joshi
2020	—	`conf`	A Smart-Farming Ontology for Attribute Based Access Control. BigDataSecurity/HPSC/IDS Sai Sree Laya Chukkapalli, Aritran Piplai, Sudip Mittal, Maanak Gupta, Anupam Joshi
2020	J	`jnl`	Creating Cybersecurity Knowledge Graphs From Malware After Action Reports. IEEE Access Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin, James Holt, Richard Zak
2020	J	`jnl`	Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19. CoRR Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali
2020	C	`conf`	Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior. ISI Aritran Piplai, Sudip Mittal, Mahmoud Abdelsalam, Maanak Gupta, Anupam Joshi, Tim Finin
2020	—	`conf`	NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion. BigDataSecurity/HPSC/IDS Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi
2020	J	`jnl`	NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion. CoRR Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi
2020	—	`conf`	Using Knowledge Graphs and Reinforcement Learning for Malware Analysis. IEEE BigData Aritran Piplai, Priyanka Ranade, Anantaa Kotal, Sudip Mittal, Sandeep Nair Narayanan, Anupam Joshi
2019	—	`conf`	Preventing Poisoning Attacks On AI Based Threat Intelligence Systems. MLSP Nitika Khurana, Sudip Mittal, Aritran Piplai, Anupam Joshi
2019	J	`jnl`	RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement. CoRR Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak
2019	B	`conf`	RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement. ASONAM Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak
2016	J	`jnl`	Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation. CoRR Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das
2014	B	`conf`	A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images. FUZZ-IEEE Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das
2013	—	`conf`	An Adaptive Differential Evolution Based Fuzzy Approach for Edge Detection in Color and Grayscale Images. SEMCCO (1) Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das