4 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision--Language Models
Nhat Hoang-Xuan, Minh Vu, My T. Thai +1
Large vision-language models (LVLMs) are powerful, yet they remain unreliable due to object hallucinations. In this work, we show that in many hallucinatory predictions the LVLM ef…
ConstStyle: Robust Domain Generalization with Unified Style Transformation
Nam Duong Tran, Nam Nguyen Phuong, Hieu H. Pham +2
Deep neural networks often suffer performance drops when test data distribution differs from training data. Domain Generalization (DG) aims to address this by focusing on domain-in…
Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models
Quan Nguyen, Minh N. Vu, Truc Nguyen +1
Federated Learning enables collaborative learning among clients via a coordinating server while avoiding direct data sharing, offering a perceived solution to preserve privacy. How…
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions
Tue M. Cao, Nhat X. Hoang, Hieu H. Pham +2
Understanding the inner workings of neural networks is essential for enhancing model performance and interpretability. Current research predominantly focuses on examining the conne…