Brian Jalaian

Computer Science · Physical Sciences

17h-index984citations93works0.92yr avg
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Research Topics

Adversarial Robustness in Machine Learning(25), Anomaly Detection Techniques and Applications(15), Advanced MIMO Systems Optimization(13), Cooperative Communication and Network Coding(11), IoT and Edge/Fog Computing(9)

Publications93 total

Advancing Model Refinement: Muon-Optimized Distillation and Quantization for LLM Deployment
ArXiv.org·2026Open Access
Advancing Model Refinement: Muon-Optimized Distillation and Quantization for LLM Deployment
arXiv (Cornell University)·2026Open Access
Constrained Edge AI Deployment: Fine-Tuning vs. Distillation for LLM Compression
2025
Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection
2025
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
Lecture notes in computer science·2025
Agentic Reasoning for Robust Vision Systems via Increased Test-Time Compute
arXiv (Cornell University)·2025Open Access
Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection
arXiv (Cornell University)·2025Open Access
Neurosymbolic AI for network intrusion detection systems: A survey
Journal of Information Security and Applications·2025Open Access
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning
arXiv (Cornell University)·2025Open Access
Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression
arXiv (Cornell University)·2025Open Access
On Accelerating Edge AI: Optimizing Resource-Constrained Environments
arXiv (Cornell University)·2025· 1 citedOpen Access
Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection
Lecture notes in computer science·2024
Mitigating Large Vision-Language Model Hallucination at Post-hoc via Multi-agent System
Proceedings of the AAAI Symposium Series·2024· 2 citedOpen Access
Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection
2024· 2 cited
A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System
2024· 7 cited
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI
arXiv (Cornell University)·2024· 2 citedOpen Access
Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning
2023· 13 cited
Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo
Machine Learning·2023· 6 citedOpen Access
Shedding Light on Darkness: Enhancing Object Detection Robustness with Synthetic Perturbations for Real-world Challenges
2023
Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation
2023· 4 cited
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Frequent Co-authors

Y. Thomas Hou(13), Wenjing Lou(12), Stephen Russell(10), Shaoran Li(10), Chengzhang Li(9), Yan Huang(9), Adam D. Cobb(6), Niranjan Suri(6), Hooman Samani(6), Benjamin M. Marlin(5), Meet P. Vadera(5), Susmit Jha(4), Nathaniel D. Bastian(4), Yushun Dong(3), Jundong Li(3), Xiaozhu Liu(3), Somesh Jha(3), Yongce Chen(3), Laurel Sadler(3), Adam D. Cobb(3)