Mitigating Large Vision-Language Model Hallucination at Post-hoc via Multi-agent System
Oct 1, 2024
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI
Jun 1, 2024
Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo
Aug 1, 2023
Reducing classifier overconfidence against adversaries through graph algorithms
Jul 1, 2023
Shedding Light on Darkness: Enhancing Object Detection Robustness with Synthetic Perturbations for Real-world Challenges
Jun 1, 2023
Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation
Jun 1, 2023
Enhancing object detection robustness: A synthetic and natural perturbation approach
Apr 1, 2023
Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty
Mar 1, 2023
Adversarial Machine Learning: A New Threat Paradigm for Next-generation Wireless Communications
Jan 1, 2023
The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example
Nov 1, 2022