43 citations · 61 across the 22 of their papers we have counts for
4 papers · 1 filter
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
Nay Myat Min, Long H. Pham, Yige Li +1
Large Language Models (LLMs) are vulnerable to backdoor attacks that manipulate outputs via hidden triggers. Existing defense methods--designed for vision/text classification tasks…
UniAdapt: A Universal Adapter for Knowledge Calibration
Tai D. Nguyen, Long H. Pham, Jun Sun
Large Language Models (LLMs) require frequent updates to correct errors and keep pace with continuously evolving knowledge in a timely and effective manner. Recent research in it m…
Certified Continual Learning for Neural Network Regression
Long H. Pham, Jun Sun
On the one hand, there has been considerable progress on neural network verification in recent years, which makes certifying neural networks a possibility. On the other hand, neura…
Unified Neural Backdoor Removal with Only Few Clean Samples through Unlearning and Relearning
Nay Myat Min, Long H. Pham, Jun Sun
Deep neural networks have achieved remarkable success across various applications; however, their vulnerability to backdoor attacks poses severe security risks -- especially in sit…