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2020 – today
- 2026
[i25]Md Tanvirul Alam, Aritran Piplai, Ionut Cardei, Nidhi Rastogi, Peter Worth Jr.:
Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs. CoRR abs/2602.00513 (2026)- [i24]Ondrej Lukás, Jihoon Shin, Emilia Rivas, Diego Forni, Maria Rigaki, Carlos Adrián Catania, Aritran Piplai, Christopher Kiekintveld, Sebastián García:
Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents. CoRR abs/2603.10041 (2026) - 2025
- [c31]Ana M. Rodriguez, Jaime Acosta, Anantaa Kotal, Aritran Piplai:
AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios. ACSAC Workshops 2025: 451-458 - [c30]Zalish Mahmud, Anantaa Kotal, Aritran Piplai:
ImpuGAN: Learning Conditional Generative Models for Robust Data Imputation. IEEE Big Data 2025: 2934-2942 - [c29]Emre Umucu, Guillermina Solis, Leon Garza, Emilia Rivas, Beatrice Lee, Anantaa Kotal, Aritran Piplai:
Empathy by Design: Aligning Large Language Models for Healthcare Dialogue. IEEE Big Data 2025: 4693-4702 - [c28]Ivan Montoya Sanchez, Shaswata Mitra, Aritran Piplai, Sudip Mittal:
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings. IJCNN 2025: 1-8 - [c27]Md Tanvirul Alam, Aritran Piplai, Nidhi Rastogi:
ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection. RAID 2025: 693-712 - [c26]Emilia Rivas, Sabrina Saika, Ahtesham Bakht, Aritran Piplai, Nathaniel D. Bastian, Ankit Shah:
Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security. SECRYPT 2025: 547-554 - [c25]Leon Garza, Anantaa Kotal, Aritran Piplai, Lavanya Elluri, Prajit Kumar Das, Aman Chadha:
PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction. TPS-ISA 2025: 148-159 - [c24]Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman
, Olukunle Kolade, Sasidhar Kunapuli:
MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification. TrustCom 2025: 2445-2450 - [i23]Ivan Montoya Sanchez, Shaswata Mitra, Aritran Piplai, Sudip Mittal:
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings. CoRR abs/2504.21028 (2025) - [i22]Emilia Rivas, Sabrina Saika, Ahtesham Bakht, Aritran Piplai, Nathaniel D. Bastian, Ankit Shah:
Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security. CoRR abs/2506.06565 (2025) - [i21]Shova Kuikel, Aritran Piplai, Palvi Aggarwal:
Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability. CoRR abs/2506.13746 (2025) - [i20]Md Tanvirul Alam, Aritran Piplai, Nidhi Rastogi:
ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection. CoRR abs/2507.08597 (2025) - [i19]Leon Garza, Anantaa Kotal, Aritran Piplai, Lavanya Elluri, Prajit Kumar Das, Aman Chadha:
PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction. CoRR abs/2508.05545 (2025) - [i18]Shaswata Mitra, Azim Bazarov, Martin Duclos, Sudip Mittal, Aritran Piplai, Md. Rayhanur Rahman, Edward Zieglar, Shahram Rahimi:
FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation. CoRR abs/2508.18684 (2025) - [i17]Ana M. Rodriguez, Jaime Acosta, Anantaa Kotal, Aritran Piplai:
AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios. CoRR abs/2510.25189 (2025) - [i16]Zalish Mahmud, Anantaa Kotal, Aritran Piplai:
Impugan: Learning Conditional Generative Models for Robust Data Imputation. CoRR abs/2512.05950 (2025) - [i15]Emre Umucu, Guillermina Solis, Leon Garza, Emilia Rivas, Beatrice Lee, Anantaa Kotal, Aritran Piplai:
Empathy by Design: Aligning Large Language Models for Healthcare Dialogue. CoRR abs/2512.06097 (2025) - [i14]Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli:
MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification. CoRR abs/2512.17594 (2025) - 2024
- [c23]Jihoon Shin, Emilia Rivas, Daniel Lucio, Aritran Piplai, Lavanya Elluri:
Towards Building Generalizable Models for Malware Detection. IEEE Big Data 2024: 5656-5663 - [c22]Tosin Ige, Christopher Kiekintveld, Aritran Piplai:
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey. EIT 2024: 135-144 - [c21]Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi:
LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. FPS (2) 2024: 63-78 - [c20]Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Wagler, Olukunle Kolade, Bolanle Hafiz Matti:
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 2024: 1-6 - [c19]Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Wagler, Olukunle Kolade, Bolanle Hafiz Matti:
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 2024: 1-6 - [c18]Elizabeth Mullins, Adrian Portillo, Kristalys Ruiz-Rohena, Aritran Piplai:
Enhancing classroom teaching with LLMs and RAG. SIGITE 2024: 145-146 - [c17]Leon Garza, Lavanya Elluri, Aritran Piplai, Anantaa Kotal, Deepti Gupta, Anupam Joshi:
PrivComp-KG: Leveraging KG and LLM for Compliance Verification. TPS-ISA 2024: 97-106 - [i13]Shaswata Mitra, Trisha Chakraborty, Subash Neupane, Aritran Piplai, Sudip Mittal:
Use of Graph Neural Networks in Aiding Defensive Cyber Operations. CoRR abs/2401.05680 (2024) - [i12]Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi:
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. CoRR abs/2401.10036 (2024) - [i11]Tosin Ige, Christopher Kiekintveld, Aritran Piplai:
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey. CoRR abs/2402.17045 (2024) - [i10]Tosin Ige, Christopher Kiekintveld, Aritran Piplai:
Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework. CoRR abs/2402.17249 (2024) - [i9]Leon Garza, Lavanya Elluri, Anantaa Kotal, Aritran Piplai, Deepti Gupta, Anupam Joshi:
PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification. CoRR abs/2404.19744 (2024) - [i8]Elizabeth Mullins, Adrian Portillo, Kristalys Ruiz-Rohena, Aritran Piplai:
Enhancing classroom teaching with LLMs and RAG. CoRR abs/2411.04341 (2024) - [i7]Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Amy Waggler, Olukunle Kolade, Bolanle Hafiz Matti:
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 abs/2411.16751 (2024) - 2023
- [j3]Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi:
Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy. IEEE Internet Comput. 27(5): 43-48 (2023) - [c16]Aritran Piplai, Anupam Joshi, Tim Finin:
Offline RL+CKG: A hybrid AI model for cybersecurity tasks. AAAI Spring Symposium: MAKE 2023 - [i6]Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi:
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy. CoRR abs/2308.02031 (2023) - 2022
- [c15]Anantaa Kotal, Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi:
PriveTAB: Secure and Privacy-Preserving sharing of Tabular Data. IWSPA@CODASPY 2022: 35-45 - [c14]Aritran Piplai, Mike Anoruo, Kayode Fasaye, Anupam Joshi, Tim Finin, Ahmad Ridley:
Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses. ICMLA 2022: 1342-1349 - 2021
- [j2]Lavanya Elluri, Aritran Piplai, Anantaa Kotal, Anupam Joshi, Karuna Pande Joshi:
A Policy-Driven Approach to Secure Extraction of COVID-19 Data From Research Papers. Frontiers Big Data 4: 701966 (2021) - [c13]Soham Dasgupta, Aritran Piplai, Priyanka Ranade, Anupam Joshi:
Cybersecurity Knowledge Graph Improvement with Graph Neural Networks. IEEE BigData 2021: 3290-3297 - [c12]Shaswata Mitra, Aritran Piplai, Sudip Mittal, Anupam Joshi:
Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs. IEEE BigData 2021: 3316-3323 - [c11]Priyanka Ranade, Aritran Piplai, Anupam Joshi, Tim Finin:
CyBERT: Contextualized Embeddings for the Cybersecurity Domain. IEEE BigData 2021: 3334-3342 - [c10]Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin:
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. IJCNN 2021: 1-9 - [i5]Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin:
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. CoRR abs/2102.04351 (2021) - 2020
- [j1]Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin, James Holt, Richard Zak:
Creating Cybersecurity Knowledge Graphs From Malware After Action Reports. IEEE Access 8: 211691-211703 (2020) - [c9]Soham Dasgupta, Aritran Piplai, Anantaa Kotal, Anupam Joshi:
A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity. IEEE BigData 2020: 2596-2604 - [c8]Aritran Piplai, Priyanka Ranade, Anantaa Kotal, Sudip Mittal, Sandeep Nair Narayanan, Anupam Joshi:
Using Knowledge Graphs and Reinforcement Learning for Malware Analysis. IEEE BigData 2020: 2626-2633 - [c7]Sai Sree Laya Chukkapalli, Aritran Piplai, Sudip Mittal, Maanak Gupta, Anupam Joshi:
A Smart-Farming Ontology for Attribute Based Access Control. BigDataSecurity/HPSC/IDS 2020: 29-34 - [c6]Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi:
NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion. BigDataSecurity/HPSC/IDS 2020: 49-54 - [c5]Aritran Piplai, Sudip Mittal, Mahmoud Abdelsalam, Maanak Gupta, Anupam Joshi, Tim Finin:
Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior. ISI 2020: 1-6 - [i4]Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi:
NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion. CoRR abs/2002.08527 (2020) - [i3]Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali:
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19. CoRR abs/2006.01284 (2020)
2010 – 2019
- 2019
- [c4]Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak:
RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement. ASONAM 2019: 879-886 - [c3]Nitika Khurana, Sudip Mittal, Aritran Piplai, Anupam Joshi:
Preventing Poisoning Attacks On AI Based Threat Intelligence Systems. MLSP 2019: 1-6 - [i2]Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak:
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement. CoRR abs/1905.02497 (2019) - 2016
- [i1]Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das:
Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation. CoRR abs/1603.08564 (2016) - 2014
- [c2]Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das:
A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images. FUZZ-IEEE 2014: 245-252 - 2013
- [c1]Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das:
An Adaptive Differential Evolution Based Fuzzy Approach for Edge Detection in Color and Grayscale Images. SEMCCO (1) 2013: 260-273
Coauthor Index
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last updated on 2026-04-11 00:25 CEST by the dblp team
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