Nathaniel D. Bastian

153 papers A* 4A 3B 3C 2Misc 6Journal 84Unranked 51
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACDZero: MCTS Agent for Mastering Automated Cyber Defense.
CoRR
Yu Li, Sizhe Tang, Rongqian Chen, Fei Xu Yu, Guangyu Jiang, Mahdi Imani, Nathaniel D. Bastian, Tian Lan
2026 A* conf
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments.
AAAI
Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo I. Simari
2026 J jnl
Optimal hyperdimensional representation for learning and cognitive computation.
Frontiers Artif. Intell.
Prathyush Poduval, Hamza Errahmouni Barkam, Xiangjian Liu, Sanggeon Yun, Yang Ni, Zhuowen Zou, Nathaniel D. Bastian, Mohsen Imani
2026 J jnl
SCoOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model Systems.
CoRR
Chung-En Johnny Yu, Brian Jalaian, Nathaniel D. Bastian
2026 A* conf
SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning.
AAAI
Toan D. Gian, Mohammad Abdi, Nathaniel D. Bastian, Francesco Restuccia
2025 J jnl
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection.
CoRR
Sanggeon Yun, Ryozo Masukawa, Hyunwoo Oh, Nathaniel D. Bastian, Mohsen Imani
2025 — conf
A Moving Source Angle-of-Arrival Estimation in Real-Time Using Machine Learning.
DySPAN
Jin Feng Lin, Charles Montes, Nathaniel D. Bastian, Ruolin Zhou
2025 — conf
A Repair-Time Trigger for Cyberattack Classifiers.
MILCOM
Priscila Silva, Gaspard Baye, Nicola Costagliola, Nathaniel D. Bastian, Gökhan Kul, Lance Fiondella
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 J jnl
Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge.
CoRR
Alexandre Broggi, Nathaniel D. Bastian, Lance Fiondella, Gökhan Kul
2025 — conf
Adversarial Decoy Placement for Strategic State Perturbations in Artificial Intelligence Driven Defense.
CDC
Armita Kazeminajafabadi, Michael Everett, Tian Lan, Nathaniel D. Bastian, Mahdi Imani
2025 — conf
Agentic AI for Cyber Defense: LLM-Guided Hierarchical Multi-Agent Reinforcement Learning.
MILCOM
Guangyu Jiang, Mahdi Imani, Nathaniel D. Bastian, Tian Lan
2025 J jnl
Agentic Reasoning for Robust Vision Systems via Increased Test-Time Compute.
CoRR
Chung-En Yu, Brian Jalaian, Nathaniel D. Bastian
2025 — conf
An Automated, Scalable Machine Learning Model Inversion Assessment Pipeline.
MILCOM
Tyler Shumaker, Jessica Carpenter, David D. Saranchak, Nathaniel D. Bastian
2025 J jnl
An Automated, Scalable Machine Learning Model Inversion Assessment Pipeline.
CoRR
Tyler Shumaker, Jessica Carpenter, David D. Saranchak, Nathaniel D. Bastian
2025 — conf
Attack Behavior Observations and Profiling Through Varying Cyber Deception Mechanisms.
MILCOM
Eric Noah Savage, Nathaniel D. Bastian, Ruolin Zhou
2025 J jnl
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding.
CoRR
Trilok Padhi, Ramneet Kaur, Adam D. Cobb, Manoj Acharya, Anirban Roy, Colin Samplawski, Brian Matejek, Alexander M. Berenbeim, Nathaniel D. Bastian, Susmit Jha
2025 — conf
Chiplet-based Implementation of Decision Trees for Network Intrusion Detection.
MILCOM
Md Abrar Ibtesham, Lei Zhang, Joseph Riem, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2025 J jnl
Cognitive map formation under uncertainty via local prediction learning.
Intell. Syst. Appl.
Calvin Yeung, Zhuowen Zou, Nathaniel D. Bastian, Mohsen Imani
2025 J jnl
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments.
CoRR
Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, Jack Corcoran, Gerardo I. Simari
2025 A conf
Continuous GNN-Based Anomaly Detection on Edge Using Efficient Adaptive Knowledge Graph Learning.
DATE
Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel D. Bastian, Mohsen Imani
2025 J jnl
Data-efficient Federated Learning for Edge Network Intrusion Detection.
Eng. Appl. Artif. Intell.
David A. Bierbrauer, Sean M. Coffey, Mikal R. Willeke, John D. Beggs, Nathaniel D. Bastian
2025 J jnl
Deceptive Sequential Decision-Making via Regularized Policy Optimization.
CoRR
Yerin Kim, Alexander Benvenuti, Bo Chen, Mustafa O. Karabag, Abhishek Ninad Kulkarni, Nathaniel D. Bastian, Ufuk Topcu, Matthew Hale
2025 — conf
Decision Trees Mapped to Memristive Hardware for Network Intrusion Detection.
MILCOM
Syed Sameer Nadeem, Osama Yousuf, Joseph Riem, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2025 J jnl
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation.
ACM Trans. Priv. Secur.
Soumyadeep Hore, Jalal Ghadermazi, Diwas Paudel, Ankit Shah, Tapas K. Das, Nathaniel D. Bastian
2025 J jnl
Ensemble-Based Uncertainty Quantification for Reliable Large Language Model Classification in Social Data Applications.
IEEE Access
David Farr, Lynnette Hui Xian Ng, Iain J. Cruickshank, Nico Manzonelli, Nicholas Clark, Kate Starbird, Nathaniel D. Bastian, Jevin West
2025 J jnl
Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach.
IEEE Access
Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicola Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gökhan Kul
2025 J jnl
FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System.
Digit. Threat. Res. Pract.
Quoc H. Nguyen, Soumyadeep Hore, Ankit Shah, Trung Q. Le, Nathaniel D. Bastian
2025 J jnl
GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection.
IEEE Trans. Inf. Forensics Secur.
Jalal Ghadermazi, Soumyadeep Hore, Ankit Shah, Nathaniel D. Bastian
2025 — conf
Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes.
L4DC
Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Tian Lan, Nathaniel D. Bastian, Mahdi Imani
2025 J jnl
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models.
CoRR
Chung-En Yu, Hsuan-Chih Chen, Brian Jalaian, Nathaniel D. Bastian
2025 — conf
LAMPS: Learning-based Mobility Planning via Posterior State Inference using Gaussian Cox Process Models.
INFOCOM WKSHPS
Egemen Erbayat, Yongsheng Mei, Gina C. Adam, Suresh Subramaniam, Sean M. Coffey, Nathaniel D. Bastian, Tian Lan
2025 J jnl
Lipschitz-based robustness estimation for hyperdimensional learning.
Frontiers Artif. Intell.
Calvin Yeung, Hamza Errahmouni Barkam, Zhuowen Zou, Sanggeon Yun, Nathaniel D. Bastian, Mohsen Imani
2025 J jnl
LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction.
CoRR
Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani
2025 — conf
Machine Learning-Driven Angle of Arrival Estimation for a Moving Signal Source.
MILCOM
Jin Feng Lin, Charles Montes, Nathaniel D. Bastian, Ruolin Zhou
2025 — conf
Multi-Agent Cyber Defense with Multi-Level Zero-Trust Actions.
MILCOM
Mahdi Imani, Tian Lan, Nathaniel D. Bastian
2025 — conf
Multi-Agent Deep Reinforcement Learning for Cyber Conflict Simulation and Experimentation.
MILCOM
Matthew L. Corbett, Jared M. Murphy, Nathaniel D. Bastian
2025 — conf
Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation.
AAAI Spring Symposia
Noel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran
2025 J jnl
Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation.
CoRR
Noel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Jack Corcoran, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian
2025 — conf
NI-Diff: Zero-Day and Adversarial Network Intrusion Detection with Diffusion Models.
MILCOM
Milin Zhang, Michael J. De Lucia, Ananthram Swami, Jonathan D. Ashdown, Nathaniel D. Bastian, Francesco Restuccia
2025 — conf
Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection.
MILCOM
Huynh T. T. Tran, Jacob Sander, Achraf Cohen, Brian Jalaian, Nathaniel D. Bastian
2025 J jnl
Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection.
CoRR
Huynh T. T. Tran, Jacob Sander, Achraf Cohen, Brian Jalaian, Nathaniel D. Bastian
2025 J jnl
Neurosymbolic AI for network intrusion detection systems: A survey.
J. Inf. Secur. Appl.
Alice Bizzarri, Chung-En Johnny Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
2025 J jnl
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning.
CoRR
Huynh T. T. Tran, Jacob Sander, Achraf Cohen, Brian Jalaian, Nathaniel D. Bastian
2025 J jnl
ORCA: Agentic Reasoning For Hallucination and Adversarial Robustness in Vision-Language Models.
CoRR
Chung-En Johnny Yu, Hsuan-Chih Chen, Brian Jalaian, Nathaniel D. Bastian
2025 J jnl
Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization.
CoRR
Fei Xu Yu, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2025 J jnl
PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning.
Frontiers Artif. Intell.
Ryozo Masukawa, Sanggeon Yun, SungHeon Evan Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani
2025 J jnl
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning.
CoRR
Ryozo Masukawa, Sanggeon Yun, Sungheon Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani
2025 J jnl
Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments.
CoRR
Yasir Ali Farrukh, Syed Wali, Irfan Khan, Nathaniel D. Bastian
2025 — conf
Probabilistic Foundations for Metacognition via Hybrid-AI.
AAAI Spring Symposia
Paulo Shakarian, Gerardo I. Simari, Nathaniel D. Bastian
2025 J jnl
Probabilistic Foundations for Metacognition via Hybrid-AI.
CoRR
Paulo Shakarian, Gerardo I. Simari, Nathaniel D. Bastian
2025 J jnl
Regression and Time Series Mixture Approaches to Predict System Performance and Assess Resilience.
IEEE Trans. Reliab.
Priscila Silva, Gaspard Baye, Mindy Hotchkiss, Gökhan Kul, Nathaniel D. Bastian, Lance Fiondella
2025 — conf
Replay or Regret: Evaluating Continual Learning Methods for Robust Intrusion Detection.
MILCOM
Nicola Costagliola, Goktug Ekinci, Nathaniel D. Bastian, Lance Fiondella, Gökhan Kul
2025 — conf
Resilient Wireless Communications with Selective Deep Neural Network Classification.
MILCOM
A. Q. M. Sazzad Sayyed, Jonathan D. Ashdown, Michael De Lucia, Ananthram Swami, Nathaniel D. Bastian, Francesco Restuccia
2025 J jnl
SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection.
Trans. Mach. Learn. Res.
Brian Matejek, Ashish Gehani, Nathaniel D. Bastian, Daniel J. Clouse, Bradford J. Kline, Susmit Jha
2025 — conf
Scaling Through Pruning for Resource-Aware Embedded Intrusion Detection on the Edge.
MILCOM
Alexandre Broggi, Nathaniel D. Bastian, Lance Fiondella, Gökhan Kul
2025 — conf
TAP-GAN+: A Topological Adversarial Pipeline for Inference-Time Detection in Machine Learning.
MILCOM
Galamo F. Monkam, Jie Yan, Nathaniel D. Bastian
2025 J jnl
TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision.
CoRR
Ayush Gupta, Anirban Roy, Rama Chellappa, Nathaniel D. Bastian, Alvaro Velasquez, Susmit Jha
2025 — conf
Towards Attribution in Network Attacks: A Deep Learning-Based Robust Framework for Intrusion Detection and Adversarial Toolchain Identification.
HICSS
Ahtesham Bakht, Ankit Shah, Nathaniel D. Bastian
2025 J jnl
Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation.
IEEE Trans. Big Data
Jalal Ghadermazi, Ankit Shah, Nathaniel D. Bastian
2025 J jnl
TriageHD: A Hyper-Dimensional Learning-to-Rank Framework for Dynamic Micro-Segmentation in Zero-Trust Network Security.
IEEE Access
Ryozo Masukawa, Sanggeon Yun, Sungheon Jeong, Nathaniel D. Bastian, Mohsen Imani
2025 — conf
Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors.
IEEECONF
Peng Wu, Amidu Kamara, Mohsen Imani, Nathaniel D. Bastian, Mahdi Imani
2025 J jnl
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection.
CoRR
Aditya Taparia, Noel Ngu, Mario A. Leiva, Joshua Shay Kricheli, John Corcoran, Nathaniel D. Bastian, Gerardo I. Simari, Paulo Shakarian, Ransalu Senanayake
2025 A conf
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation.
WACV
Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani
2025 J jnl
XG-NID: Dual-modality network intrusion detection using a heterogeneous graph neural network and large language model.
Expert Syst. Appl.
Yasir Ali Farrukh, Syed Wali, Irfan Khan, Nathaniel D. Bastian
2025 A conf
Zero-Shot Detection of Out-of-Context Objects Using Foundation Models.
WACV
Anirban Roy, Adam D. Cobb, Ramneet Kaur, Sumit Jha, Nathaniel D. Bastian, Alexander M. Berenbeim, Robert H. Thomson, Iain Cruickshank, Alvaro Velasquez, Susmit Jha
2024 J jnl
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System.
IEEE Trans. Syst. Man Cybern. Syst.
Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian
2024 B conf
A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System.
ICCCN
Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
2024 J jnl
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI.
CoRR
Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
2024 J jnl
A sequential deep learning framework for a robust and resilient network intrusion detection system.
Comput. Secur.
Soumyadeep Hore, Jalal Ghadermazi, Ankit Shah, Nathaniel D. Bastian
2024 J jnl
A topological data analysis approach for detecting data poisoning attacks against machine learning based network intrusion detection systems.
Comput. Secur.
Galamo Monkam, Michael J. De Lucia, Nathaniel D. Bastian
2024 — conf
ACI-IoT-2023: A Robust Dataset for Internet of Things Network Security Analysis.
MILCOM
Emily A. Nack, Morgan C. McKenzie, Nathaniel D. Bastian
2024 J jnl
AIS-NIDS: An intelligent and self-sustaining network intrusion detection system.
Comput. Secur.
Yasir Ali Farrukh, Syed Wali, Irfan Khan, Nathaniel D. Bastian
2024 J jnl
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI.
CoRR
Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy, Brian Matejek, Manoj Acharya, Daniel Elenius, Alexander M. Berenbeim, John A. Pavlik, Nathaniel D. Bastian, Susmit Jha
2024 — conf
Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models.
IEEECONF
Amirhossein Ravari, Guangyu Jiang, Zuyuan Zhang, Mahdi Imani, Robert H. Thomson, Aryn A. Pyke, Nathaniel D. Bastian, Tian Lan
2024 — conf
Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware.
MILCOM
Joseph Riem, Lei Zhang, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2024 J jnl
Constrained optimization based adversarial example generation for transfer attacks in network intrusion detection systems.
Optim. Lett.
Marc Chalé, Bruce Cox, Jeffery Weir, Nathaniel D. Bastian
2024 J jnl
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning.
CoRR
Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel D. Bastian, Mohsen Imani
2024 — conf
Defining and Measuring Deception in Sequential Decision Systems: Application to Network Defense.
MILCOM
Yerin Kim, Alexander Benvenuti, Bo Chen, Mustafa O. Karabag, Abhishek Ninad Kulkarni, Nathaniel D. Bastian, Ufuk Topcu, Matthew Hale
2024 J jnl
Human Intuition and Algorithmic Efficiency Must Be Balanced to Enhance Data Mesh Resilience.
Commun. ACM
Andrew Strelzoff, Benjamin D. Trump, Christopher L. Cummings, Madison Smith, Stephanie Elisabeth Galaitsi, Kelsey Stoddard, Jeffrey M. Keisler, Moshe Y. Vardi, Nathaniel D. Bastian, Alexander Kott, Igor Linkov
2024 — conf
Model Poisoning Detection via Forensic Analysis.
MILCOM
Galamo F. Monkam, Nathaniel D. Bastian
2024 J jnl
Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications.
IEEE Trans. Circuits Syst. I Regul. Pap.
Lei Zhang, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2024 — conf
Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection.
AI*IA
Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
2024 Misc conf
Offline Reinforcement Learning for Autonomous Cyber Defense Agents.
WSC
Alexander Wei, David A. Bierbrauer, Emily A. Nack, John A. Pavlik, Nathaniel D. Bastian
2024 — conf
Post-hoc Uncertainty Quantification for Neurosymbolic Artificial Intelligence.
MILCOM
Alexander M. Berenbeim, Ramneet Kaur, Adam D. Cobb, Anirban Roy, Susmit Jha, Nathaniel D. Bastian
2024 B conf
Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems.
ICCCN
Priscila Silva, Gaspard Baye, Alexandre Broggi, Nathaniel D. Bastian, Gökhan Kul, Lance Fiondella
2024 A* conf
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space.
NeurIPS
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024 J jnl
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space.
CoRR
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024 — conf
Seeing the Whole Elephant - A Comprehensive Framework for Data Education.
SIGCSE (1)
Iain J. Cruickshank, Nathaniel D. Bastian, Jean R. S. Blair, Christa M. Chewar, Edward Sobiesk
2024 J jnl
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models.
CoRR
Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song
2024 — conf
Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection.
MILCOM
Jacob Sander, Chung-En Johnny Yu, Brian Jalaian, Nathaniel D. Bastian
2024 J jnl
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation.
CoRR
Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani
2024 J jnl
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model.
CoRR
Yasir Ali Farrukh, Syed Wali, Irfan Khan, Nathaniel D. Bastian
2024 — conf
varMax: Towards Confidence-Based Zero-Day Attack Recognition.
MILCOM
Gaspard Baye, Priscila Silva, Alexandre Broggi, Nathaniel D. Bastian, Lance Fiondella, Gökhan Kul
2023 J jnl
Analysis of Media Writing Style Bias through Text-Embedding Networks.
CoRR
Iain J. Cruickshank, Jessica Zhu, Nathaniel D. Bastian
2023 — conf
Challenges and Opportunities in Neuro-Symbolic Composition of Foundation Models.
MILCOM
Susmit Jha, Anirban Roy, Adam D. Cobb, Alexander M. Berenbeim, Nathaniel D. Bastian
2023 — conf
Counterexample Guided Inductive Synthesis Using Large Language Models and Satisfiability Solving.
MILCOM
Sumit Kumar Jha, Susmit Jha, Patrick Lincoln, Nathaniel D. Bastian, Alvaro Velasquez, Rickard Ewetz, Sandeep Neema
2023 J jnl
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation.
CoRR
Soumyadeep Hore, Jalal Ghadermazi, Diwas Paudel, Ankit Shah, Tapas K. Das, Nathaniel D. Bastian
2023 J jnl
Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework.
Expert Syst. Appl.
Soumyadeep Hore, Ankit Shah, Nathaniel D. Bastian
2023 — conf
Dehallucinating Large Language Models Using Formal Methods Guided Iterative Prompting.
ICAA
Susmit Jha, Sumit Kumar Jha, Patrick Lincoln, Nathaniel D. Bastian, Alvaro Velasquez, Sandeep Neema
2023 — conf
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection.
MILCOM
Yasir Ali Farrukh, Syed Wali, Irfan Khan, Nathaniel D. Bastian
2023 J jnl
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection.
CoRR
Yasir Ali Farrukh, Syed Wali, Irfan Khan, Nathaniel D. Bastian
2023 — conf
Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS.
DSC
Soumyadeep Hore, Quoc H. Nguyen, Yulun Xu, Ankit Shah, Nathaniel D. Bastian, Trung Q. Le
2023 — conf
Explainable Learning-Based Intrusion Detection Supported by Memristors.
CAI
Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 J jnl
Measuring Classification Decision Certainty and Doubt.
CoRR
Alexander M. Berenbeim, Iain J. Cruickshank, Susmit Jha, Robert H. Thomson, Nathaniel D. Bastian
2023 J jnl
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving.
CoRR
Sumit Kumar Jha, Susmit Jha, Patrick Lincoln, Nathaniel D. Bastian, Alvaro Velasquez, Rickard Ewetz, Sandeep Neema
2023 — conf
Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning.
MILCOM
Brian Jalaian, Nathaniel D. Bastian
2023 — conf
Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification.
ICAA
Taylor Bradley, Elie Alhajjar, Nathaniel D. Bastian
2023 J jnl
Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification.
CoRR
Taylor Bradley, Elie Alhajjar, Nathaniel D. Bastian
2023 J jnl
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments.
CoRR
Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno Castro da Silva, Emma Brunskill, Philip S. Thomas
2023 B conf
Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems.
NOMS
Gaspard Baye, Priscila Silva, Alexandre Broggi, Lance Fiondella, Nathaniel D. Bastian, Gökhan Kul
2023 — conf
Preprocessing Network Traffic using Topological Data Analysis for Data Poisoning Detection.
DSC
Galamo Monkam, Michael J. De Lucia, Nathaniel D. Bastian
2023 — conf
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.
DSC
Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 J jnl
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.
CoRR
Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 J jnl
Real-time Network Intrusion Detection via Decision Transformers.
CoRR
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023 J jnl
SeNet-I: An approach for detecting network intrusions through serialized network traffic images.
Eng. Appl. Artif. Intell.
Yasir Ali Farrukh, Syed Wali, Irfan Khan, Nathaniel D. Bastian
2023 — conf
Towards Robust Learning using Diametrical Risk Minimization for Network Intrusion Detection.
DSC
Kelson J. McCollum, Nathaniel D. Bastian, Johannes O. Royset
2023 J jnl
Transfer learning for raw network traffic detection.
Expert Syst. Appl.
David A. Bierbrauer, Michael J. De Lucia, Krishna Reddy, Paul Maxwell, Nathaniel D. Bastian
2023 Misc conf
Uncertainty-Quantified, Robust Deep Learning for Network Intrusion Detection.
WSC
Joshua A. Wong, Alexander M. Berenbeim, David A. Bierbrauer, Nathaniel D. Bastian
2022 J jnl
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System.
CoRR
Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian
2022 J jnl
A ranked solution for social media fact checking using epidemic spread modeling.
Inf. Sci.
John H. Smith, Nathaniel D. Bastian
2022 — conf
Context-aware Collaborative Neuro-Symbolic Inference in IoBTs.
MILCOM
Tarek F. Abdelzaher, Nathaniel D. Bastian, Susmit Jha, Lance M. Kaplan, Mani B. Srivastava, Venugopal V. Veeravalli
2022 J jnl
Deep VULMAN: A Deep Reinforcement Learning-Enabled Cyber Vulnerability Management Framework.
CoRR
Soumyadeep Hore, Ankit Shah, Nathaniel D. Bastian
2022 J jnl
Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems.
Expert Syst. Appl.
Marc Chalé, Nathaniel D. Bastian
2022 A* conf
Off-Policy Evaluation for Action-Dependent Non-stationary Environments.
NeurIPS
Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno C. da Silva, Emma Brunskill, Philip S. Thomas
2022 C conf
Payload-Byte: A Tool for Extracting and Labeling Packet Capture Files of Modern Network Intrusion Detection Datasets.
BDCAT
Yasir Ali Farrukh, Irfan Khan, Syed Wali, David A. Bierbrauer, John A. Pavlik, Nathaniel D. Bastian
2021 — conf
A Sensitivity Analysis of Poisoning and Evasion Attacks in Network Intrusion Detection System Machine Learning Models.
MILCOM
Kevin Talty, John Stockdale, Nathaniel D. Bastian
2021 J jnl
Adversarial machine learning in Network Intrusion Detection Systems.
Expert Syst. Appl.
Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian
2021 — conf
An Adversarial Training Based Machine Learning Approach to Malware Classification under Adversarial Conditions.
HICSS
Sean M. Devine, Nathaniel D. Bastian
2021 J jnl
Anomaly Detection in Cybersecurity: Unsupervised, Graph-Based and Supervised Learning Methods in Adversarial Environments.
CoRR
David A. Bierbrauer, Alexander Chang, Will Kritzer, Nathaniel D. Bastian
2021 Misc conf
CHALLENGES AND OPPORTUNITIES FOR GENERATIVE METHODS IN THE CYBER DOMAIN.
WSC
Marc Chalé, Nathaniel D. Bastian
2021 — conf
Evaluating Model Robustness to Adversarial Samples in Network Intrusion Detection.
IEEE BigData
Madeleine Schneider, David Aspinall, Nathaniel D. Bastian
2021 Misc conf
Robust Decision-Making in the Internet of Battlefield Things Using Bayesian Neural Networks.
WSC
Adam D. Cobb, Brian Jalaian, Nathaniel D. Bastian, Stephen Russell
2020 J jnl
Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities.
CoRR
Tyler J. Shipp, Daniel J. Clouse, Michael J. De Lucia, Metin B. Ahiskali, Kai Steverson, Jonathan M. Mullin, Nathaniel D. Bastian
2020 J jnl
Adversarial Machine Learning in Network Intrusion Detection Systems.
CoRR
Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian
2020 J jnl
Algorithm Selection Framework for Cyber Attack Detection.
CoRR
Marc Chalé, Nathaniel D. Bastian, Jeffery Weir
2020 — conf
Algorithm selection framework for cyber attack detection.
WiseML@WiSec
Marc Chalé, Nathaniel D. Bastian, Jeffery Weir
2020 J jnl
Stacked Generalizations in Imbalanced Fraud Data Sets using Resampling Methods.
CoRR
Kathleen Kerwin, Nathaniel D. Bastian
2020 J jnl
The spatially conscious machine learning model.
Stat. Anal. Data Min.
Timothy J. Kiely, Nathaniel D. Bastian
2019 — conf
Intelligent Feature Engineering for Cybersecurity.
IEEE BigData
Paul Maxwell, Elie Alhajjar, Nathaniel D. Bastian
2019 J jnl
Intelligent Systems Design for Malware Classification Under Adversarial Conditions.
CoRR
Sean M. Devine, Nathaniel D. Bastian
2019 Misc conf
Simulation for Cyber Risk Management - Where are we, and Where do we Want to Go?
WSC
Sachin Shetty, Indrajit Ray, Nurcin Celik, Michael Mesham, Nathaniel D. Bastian, Quanyan Zhu
2019 Misc conf
Solving The Army's Cyber Workforce Planning Problem Using Stochastic Optimization and Discrete-Event Simulation Modeling.
WSC
Nathaniel D. Bastian, Christopher B. Fisher, Andrew O. Hall, Brian J. Lunday
2019 J jnl
The Spatially-Conscious Machine Learning Model.
CoRR
Timothy J. Kiely, Nathaniel D. Bastian
2017 J jnl
A hybrid recommender system using artificial neural networks.
Expert Syst. Appl.
Tulasi K. Paradarami, Nathaniel D. Bastian, Jennifer L. Wightman
2017 — conf
Machine Learning and Statistical Techniques to Predict Sepsis: Unifying Previous Work.
CRI
Joseph Klobusický, Alexander Murph, Alexander C. Robinson, Nathaniel D. Bastian, Paul M. Griffin, Shravan Kethireddy, Nathan Ryan
2017 J jnl
Optimizing Student Team and Job Assignments for the Holy Family Academy.
Interfaces
Sharan Srinivas, Mohammadmahdi Alizadeh, Nathaniel D. Bastian
2016 J jnl
Data analytics in health promotion: Health market segmentation and classification of total joint replacement surgery patients.
Expert Syst. Appl.
Eric R. Swenson, Nathaniel D. Bastian, Harriet Black Nembhard
2016 J jnl
Multi-criteria logistics modeling for military humanitarian assistance and disaster relief aerial delivery operations.
Optim. Lett.
Nathaniel D. Bastian, Paul M. Griffin, Eric Spero, Lawrence V. Fulton
2015 J jnl
A maximum expected covering problem for locating and dispatching two classes of military medical evacuation air assets.
Optim. Lett.
Benjamin C. Grannan, Nathaniel D. Bastian, Laura A. McLay
2015 J jnl
The AMEDD Uses Goal Programming to Optimize Workforce Planning Decisions.
Interfaces
Nathaniel D. Bastian, Pat McMurry, Lawrence V. Fulton, Paul M. Griffin, Shisheng Cui, Thor Hanson, Sharan Srinivas
2013 J jnl
Rainwater harvesting system using a non-parametric stochastic rainfall generator.
Simul.
Lawrence V. Fulton, Nathaniel D. Bastian, Francis A. Méndez Mediavilla, Rasim Muzaffer Musal