works on

From the 1 of 16 linked papers with an AI index.

collaborators

16 papers

cs.CV2026

GeoDetect: Geometric Adversarial Detection for VLPs

Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +2

The paper introduces GeoDetect, a method that uses geometric properties of vision‑language model embeddings to detect adversarial examples by measuring how far they deviate from th…

cs.CV2026

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity

Heethanjan Kanagalingam, Thenukan Pathmanathan, Mokeeshan Vathanakumar +3

Vision Language Models have achieved near-human performance on single-document Visual Question Answering, yet their effectiveness degrades significantly when retrieving information…

cs.LG2026

Semantic Robustness Certification for Vision-Language Models

Peiyu Yang, Paul Montague, Feng Liu +4

Vision-language models (VLMs) are now widely used in downstream tasks. However, real-world applications often expose VLMs to distribution shifts induced by semantic variation (e.g.…

cs.CV2026

Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs

Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +1

Vision-Language models (VLMs), such as CLIP, achieve powerful zero-shot classification. However, their predictions remain sensitive to spurious correlations, where contextual cues…

cs.CR2026

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses

Xiao Li, Xiang Zheng, Yifeng Gao +35

Embodied Artificial Intelligence (Embodied AI) integrates perception, cognition, planning, and interaction into agents that operate in open-world, safety-critical environments. As…

cs.LG2026

AudioMosaic: Contrastive Masked Audio Representation Learning

Hanxun Huang, Qizhou Wang, Xingjun Ma +3

Audio self-supervised learning (SSL) aims to learn general-purpose representations from large-scale unlabeled audio data. While recent advances have been driven mainly by generativ…