Minh-Hao Van

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

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Publications

Karuna Bhaila, Minh-Hao Van, Xintao Wu
Soft Prompting for Unlearning in Large Language Models. CoRR (2024)
Minh-Hao Van, Prateek Verma, Xintao Wu
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study. CHASE (2024)
Minh-Hao Van, Prateek Verma, Xintao Wu
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study. CoRR (2024)
Prateek Verma, Minh-Hao Van, Xintao Wu
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis. CoRR (2024)
Vinay M. S., Minh-Hao Van, Xintao Wu
In-Context Learning Demonstration Selection via Influence Analysis. CoRR (2024)
Minh-Hao Van, Alycia N. Carey, Xintao Wu
Robust Influence-Based Training Methods for Noisy Brain MRI. PKDD (4) (2024)
Minh-Hao Van, Alycia N. Carey, Xintao Wu
Robust Influence-based Training Methods for Noisy Brain MRI. CoRR (2024)
Minh-Hao Van, Alycia N. Carey, Xintao Wu
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. CoRR (2023)
Minh-Hao Van, Alycia N. Carey, Xintao Wu
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. ICDM (2023)
Minh-Hao Van, Xintao Wu
Detecting and Correcting Hate Speech in Multimodal Memes with Large Visual Language Model. CoRR (2023)
Alycia N. Carey, Minh-Hao Van, Xintao Wu
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions. CoRR (2023)
Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu
Poisoning Attacks on Fair Machine Learning. DASFAA (1) (2022)
Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu
Defending Evasion Attacks via Adversarially Adaptive Training. Big Data (2022)
Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu
Poisoning Attacks on Fair Machine Learning. CoRR (2021)