3 papers
cs.CL2026
Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
Chaowei Zhang, Xiansheng Luo, Zewei Zhang +3
The widespread proliferation of online content has intensified concerns about clickbait, deceptive or exaggerated headlines designed to attract attention. While Large Language Mode…
cs.LG2024
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
Longwei Wang, Navid Nayyem, Abdullah Rakin
Adversarial attacks exploit the vulnerabilities of convolutional neural networks by introducing imperceptible perturbations that lead to misclassifications, exposing weaknesses in…
cs.LG2024
Bridging Interpretability and Robustness Using LIME-Guided Model Refinement
Navid Nayyem, Abdullah Rakin, Longwei Wang
This paper explores the intricate relationship between interpretability and robustness in deep learning models. Despite their remarkable performance across various tasks, deep lear…