collaborators

12 papers

cs.SI2026

When Agents Talk: Discourse, Manipulation, and Risk in an Agentic Social Network

10a Labs, :, Grace Cheong +22

AI agents are increasingly interacting within shared online environments, creating new operational security risks. We analyze activity on Moltbook, a Reddit-style social platform w…

cs.CV2026

Personalized Face Privacy Protection From a Single Image

Zachary Yahn, Fatih Ilhan, Tiansheng Huang +5

Photos of faces uploaded online are vulnerable to malicious actors who can scrape facial images from online sources and intrude on personal privacy via unauthorized use of facial r…

cs.LG2026

TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution

Prasanjit Dey, Zachary Yahn, Bianca Schoen-Phelan +1

Nitrogen dioxide (NO) is a primary atmospheric pollutant and a significant contributor to respiratory morbidity and urban climate-related challenges. While satellite platforms…

cs.CV2026

Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding

Fatih Ilhan, Gaowen Liu, Ramana Rao Kompella +5

Large Vision-Language Models (VLMs) have achieved remarkable success in multi-modal reasoning, but their inference time efficiency remains a significant challenge due to the memory…

cs.CV2026

A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning

Yichang Xu, Gaowen Liu, Ramana Rao Kompella +6

This paper presents a multi-agent perception-action exploration alliance, dubbed A4VL, for efficient long-video reasoning. A4VL operates in a multi-round perception-action explorat…

cs.CL2026

H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs

Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang +4

The alignment of pre-trained LLMs continues to draw significant attention from both industry and academia, aiming to ensure responses that are helpful, harmless, and honest. Howeve…