1 citations · 2 across the 10 of their papers we have counts for
5 papers · 1 filter
Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs
Binesh Sadanandan, Vahid Behzadan
Attention and saliency heatmaps are widely used to explain medical Vision-Language Model (VLM) outputs on chest X-rays, yet whether they truly highlight the image evidence driving…
Consistent but Dangerous: Per-Sample Safety Classification Reveals False Reliability in Medical Vision-Language Models
Binesh Sadanandan, Vahid Behzadan
Consistency under paraphrase, the property that semantically equivalent prompts yield identical predictions, is increasingly used as a proxy for reliability when deploying medical…
Mechanistically Guided LoRA Improves Paraphrase Consistency in Medical Vision-Language Models
Binesh Sadanandan, Vahid Behzadan
Medical Vision-Language Models can give different yes or no answers to rephrasings of the same clinical question. We study this in MedGemma-4B using PSF-Med Sadanandan and Behzadan…
PSF-Med: Measuring and Explaining Paraphrase Sensitivity in Medical Vision Language Models
Binesh Sadanandan, Vahid Behzadan
Medical Vision Language Models (VLMs) can change their answers when clinicians rephrase the same question, a failure mode that threatens deployment safety. We introduce PSF-Med, a…
VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models
Binesh Sadanandan, Vahid Behzadan
Vision Language Models (VLMs) hold great promise for streamlining labour-intensive medical imaging workflows, yet systematic security evaluations in clinical settings remain scarce…