All Publications

Chung-en Johnny Yu, Brian Jalaian, Nathaniel D Bastian (2024). Mitigating Large Vision-Language Model Hallucination at Post-hoc via Multi-agent System. In AAAI-FS 2024.

Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian (2024). A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. 2024 33rd International Conference on Computer Communications and Networks (ICCCN).

Alice Bizzarri, Chung-en Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian (2024). A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. arXiv.

Brian Jalaian, Nathaniel D. Bastian (2023). Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning. IEEE MILCOM 2023.

Vyacheslav Kungurtsev, Adam Cobb, Tara Javidi, Brian Jalaian (2023). Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. Machine Learning.

Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro (2023). Reducing classifier overconfidence against adversaries through graph algorithms. Machine Learning.

Nilantha Premakumara, Brian Jalaian, Niranjan Suri (2023). Shedding Light on Darkness: Enhancing Object Detection Robustness with Synthetic Perturbations for Real-world Challenges. 2023 IEEE Conference on Artificial Intelligence.

Nilantha Premakumara, Brian Jalaian, Niranjan Suri, Hooman SAMANI (2023). Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation. Proceedings of the 2023 Asia Conference on Computer Vision, Image Processing and Pattern Recognition.

Nilantha Premakumara, Brian Jalaian, Niranjan Suri, Hooman SAMANI (2023). Enhancing object detection robustness: A synthetic and natural perturbation approach. arXiv.

Shaoran Li, Chengzhang Li, Yan Huang, Brian A. Jalaian, Y. Thomas Hou, Wenjing Lou (2023). Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty. IEEE Journal on Selected Areas in Communications.