Minh-Hao Van Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

4 h-index 15 pubs 68 cited

Research Areas

Advanced Neural Network Applications Natural Language Processing Techniques Medical Imaging Techniques and Applications Network Security and Intrusion Detection Misinformation and Its Impacts

Links

ORCID Lab Website

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OverviewAI-generated summary

Minh-Hao Van's research focuses on advancing machine learning techniques, particularly in the areas of fairness, robustness, and data privacy. His work investigates methods to defend against poisoning and evasion attacks, which can compromise the integrity of machine learning models. Van has explored influence-based methods for training models, demonstrating their utility in scenarios involving noisy data, such as brain MRI scans. His publications also address the selection of demonstrations for in-context learning and the impact of local differential privacy on utility loss.

Collaborating with researchers at the University of Arkansas at Fayetteville, including Alycia N. Carey and Xintao Wu, Van has contributed to a body of work exploring these critical aspects of machine learning. His scholarship includes 15 publications with 68 citations and an h-index of 4, indicating recent and ongoing activity in the field.

Metrics

  • h-index: 4
  • Publications: 15
  • Citations: 68

Selected Publications

  • Influence-based approaches for tumor classification in noisy brain MRI with deep learning and vision-language models (2025) DOI
  • Selecting In-Context Learning Demonstrations Via Influence Analysis (2025) DOI
  • Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions (2024) DOI
  • Robust Influence-Based Training Methods for Noisy Brain MRI (2024) DOI
  • HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks (2023) DOI
  • Defending Evasion Attacks via Adversarially Adaptive Training (2022) DOI
  • Poisoning Attacks on Fair Machine Learning (2022) DOI

Collaborators

Researchers in the database who share publications

Alycia N. Carey University of Arkansas at Fayetteville 7 shared publications Xintao Wu University of Arkansas at Fayetteville 2 shared publications M. S. Vinay University of Arkansas at Fayetteville 1 shared publication Kennedy Edemacu University of Arkansas at Fayetteville 1 shared publication

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