9 citations · 20 across the 7 of their papers we have counts for
Showing 2026 · cs.CVShow all
2 papers · 2 filters
cs.CV2026
VisionPsy-Nano: Improving Accuracy, Efficiency, and Reliability in On-Device Vision-Language Models
Khurram Azeem Hashmi, Mohammadreza Zolfaghari, Changdae Park +6
Sub-billion-parameter Vision-Language Models are increasingly viable for on-device deployment, yet compact model size alone does not guarantee usability. On a phone, such a model c…
cs.CV2026
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
Hao Wang, Yiqun Sun, Pengfei Wei +2
Vision-language models (VLMs) have advanced rapidly and are increasingly deployed in real-world applications, especially with the rise of agent-based systems. However, their safety…