Nathaniel D. Bastian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
14
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning. | Toan D. Gian, Mohammad Abdi, Nathaniel D. Bastian, Francesco Restuccia |
| 2026 | AAAI | Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments. | Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo I. Simari |
| 2026 | ACL | NSF-CoT: Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question Answering. | Vishal Pramanik, Maisha Maliha, Nathaniel D. Bastian, Alvaro Velasquez, Susmit Jha, Sumit Kumar Jha |
| 2026 | DATE | LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction. | Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani |
| 2026 | DSN | From Threat Intelligence to Decision Theory: ATT&CK-Derived Utility Functions for Adversarial Risk Analysis in NIDS. | Mayank Raj, Nathaniel D. Bastian, Lance Fiondella, Gkhan Kul |
| 2026 | INFOCOM | ACDZero: Graph-Embedding-Based Tree Search for Mastering Automated Cyber Defense. | Yu Li, Sizhe Tang, Rongqian Chen, Fei Xu Yu, Guangyu Jiang, Mahdi Imani, Nathaniel D. Bastian, Tian Lan |
| 2026 | ISLPED | Integrating Symbolic and Neural Mechanisms for Adversarially Robust Hyperdimensional Computing. | Hamza Errahmouni Barkam, Salaar Saraj, Zhen Ye, Xiangjian Liu, Haleh Alimohamadi, Nathaniel D. Bastian, Mohsen Imani |
| 2026 | WACV | CLUE: Bringing Machine Unlearning to Mobile Devices. | A. Q. M. Sazzad Sayyed, Nathaniel D. Bastian, Michael J. De Lucia, Ananthram Swami, Francesco Restuccia |
| 2026 | WACV | ENCORE: A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks. | A. Q. M. Sazzad Sayyed, Nathaniel D. Bastian, Francesco Restuccia |
| 2026 | SECRYPT | MITRE ATT&CK-based Attack Chain Prediction Using Hybrid LSTM-Markov Models for Cyber Risk Assessment. | Mayank Raj, Nathaniel D. Bastian, Lance Fiondella, Gkhan Kul |
| 2025 | ACSSC | Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors. | Peng Wu, Amidu Kamara, Mohsen Imani, Nathaniel D. Bastian, Mahdi Imani |
| 2025 | DATE | Continuous GNN-Based Anomaly Detection on Edge Using Efficient Adaptive Knowledge Graph Learning. | Sanggeon Yun, Ryozo Masukawa, William Youngwoo Chung, Minhyoung Na, Nathaniel D. Bastian, Mohsen Imani |
| 2025 | ICCV | TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision. | Ayush Gupta, Anirban Roy, Rama Chellappa, Nathaniel D. Bastian, Alvaro Velasquez, Susmit Jha |
| 2025 | INFOCOM | LAMPS: Learning-based Mobility Planning via Posterior State Inference using Gaussian Cox Process Models. | Egemen Erbayat, Yongsheng Mei, Gina C. Adam, Suresh Subramaniam, Sean M. Coffey, Nathaniel D. Bastian, Tian Lan |
| 2025 | WACV | VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. | Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani |
| 2025 | WACV | Zero-Shot Detection of Out-of-Context Objects Using Foundation Models. | Anirban Roy, Adam D. Cobb, Ramneet Kaur, Sumit Jha, Nathaniel D. Bastian, Alexander M. Berenbeim, Robert H. Thomson, Iain Cruickshank, Alvaro Velasquez, Susmit Jha |
| 2025 | SECRYPT | 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 |
| 2024 | ACSSC | Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models. | Amirhossein Ravari, Guangyu Jiang, Zuyuan Zhang, Mahdi Imani, Robert H. Thomson, Aryn A. Pyke, Nathaniel D. Bastian, Tian Lan |
| 2024 | ICCCN | A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. | Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian |
| 2024 | ICCCN | Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems. | Priscila Silva, Gaspard Baye, Alexandre Broggi, Nathaniel D. Bastian, Gkhan Kul, Lance Fiondella |
| 2024 | WSC | Offline Reinforcement Learning for Autonomous Cyber Defense Agents. | Alexander Wei, David A. Bierbrauer, Emily A. Nack, John A. Pavlik, Nathaniel D. Bastian |
| 2024 | SIGCSE | Seeing the Whole Elephant - A Comprehensive Framework for Data Education. | Iain J. Cruickshank, Nathaniel D. Bastian, Jean R. S. Blair, Christa M. Chewar, Edward Sobiesk |
| 2023 | NOMS | Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems. | Gaspard Baye, Priscila Silva, Alexandre Broggi, Lance Fiondella, Nathaniel D. Bastian, Gkhan Kul |
| 2023 | WSC | Uncertainty-Quantified, Robust Deep Learning for Network Intrusion Detection. | Joshua A. Wong, Alexander M. Berenbeim, David A. Bierbrauer, Nathaniel D. Bastian |
| 2021 | WSC | CHALLENGES AND OPPORTUNITIES FOR GENERATIVE METHODS IN THE CYBER DOMAIN. | Marc Chal, Nathaniel D. Bastian |
| 2021 | WSC | Robust Decision-Making in the Internet of Battlefield Things Using Bayesian Neural Networks. | Adam D. Cobb, Brian Jalaian, Nathaniel D. Bastian, Stephen Russell |
| 2019 | WSC | Solving The Army's Cyber Workforce Planning Problem Using Stochastic Optimization and Discrete-Event Simulation Modeling. | Nathaniel D. Bastian, Christopher B. Fisher, Andrew O. Hall, Brian J. Lunday |
| 2019 | WSC | Simulation for Cyber Risk Management - Where are we, and Where do we Want to Go? | Sachin Shetty, Indrajit Ray, Nurcin Celik, Michael Mesham, Nathaniel D. Bastian, Quanyan Zhu |