Minh-Hao Van

According to our database, Minh-Hao Van authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Soft Prompting for Unlearning in Large Language Models.

Karuna Bhaila, Minh-Hao Van, Xintao Wu

CoRR, 2024

Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis.

Prateek Verma, Minh-Hao Van, Xintao Wu

CoRR, 2024

In-Context Learning Demonstration Selection via Influence Analysis.

Vinay M. S., Minh-Hao Van, Xintao Wu

CoRR, 2024

Robust Influence-Based Training Methods for Noisy Brain MRI.

Minh-Hao Van, Alycia N. Carey, Xintao Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions.

Alycia N. Carey, Minh-Hao Van, Xintao Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study.

Minh-Hao Van, Prateek Verma, Xintao Wu

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

2023

Detecting and Correcting Hate Speech in Multimodal Memes with Large Visual Language Model.

Minh-Hao Van, Xintao Wu

CoRR, 2023

HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks.

Minh-Hao Van, Alycia N. Carey, Xintao Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Poisoning Attacks on Fair Machine Learning.

Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu

Proceedings of the Database Systems for Advanced Applications, 2022

Defending Evasion Attacks via Adversarially Adaptive Training.

Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu

Proceedings of the IEEE International Conference on Big Data, 2022