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cs.LG2026
Defending against Model Extraction for GNNs with Model Reprogramming
Yan Wen, Zhenyi Wang, Heng Huang
Graph Neural Networks (GNNs) serve as the backbone for high-stakes applications in Machine-Learning-as-a-Service (MLaaS). Still, their black-box deployment exposes them to Model Ex…
cs.CV2026
Seeing to Ground: Visual Attention for Hallucination-Resilient MDLLMs
Vishal Narnaware, Animesh Gupta, Kevin Zhai +2
Multimodal Diffusion Large Language Models (MDLLMs) achieve high-concurrency generation through parallel masked decoding, yet the architectures remain prone to multimodal hallucina…