Hanlei Zhang

Learning Discriminative Representations and Decision Boundaries for Open Intent Detection

2022 · arXiv (Cornell University)

Open intent detection is a significant problem in natural language understanding, which aims to identify the unseen open intent while ensuring known intent identification performance. However, current methods face two major challenges. Firstly, they struggle …

BARBIE: Robust Backdoor Detection Based on Latent Separability

2025

Backdoor attacks are an essential risk to deep learning model sharing.Fundamentally, backdoored models are different from benign models considering latent separability, i.e., distinguishable differences in model latent representations.However, existing methods quantify latent separability by clustering …