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cs.CV2025
Do VLMs Have Bad Eyes? Diagnosing Compositional Failures via Mechanistic Interpretability
Ashwath Vaithinathan Aravindan, Abha Jha, Mihir Kulkarni
Vision-Language Models (VLMs) have shown remarkable performance in integrating visual and textual information for tasks such as image captioning and visual question answering. Howe…
cs.CV2025
Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation
Ashwath Vaithinathan Aravindan, Abha Jha, Matthew Salaway +2
Text-to-image diffusion models have revolutionized generative AI, but their vulnerability to backdoor attacks poses significant security risks. Adversaries can inject imperceptible…