2 papers
cs.CV2026
LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models
Alvi Md Ishmam, Najibul Haque Sarker, Zaber Ibn Abdul Hakim +1
Multimodal Large Language Models (MLLMs) have achieved remarkable performance across vision-language tasks. Recent advancements allow these models to process multiple images as inp…
cs.SD2026
SoundBreak: A Systematic Study of Audio-Only Adversarial Attacks on Trimodal Models
Aafiya Hussain, Gaurav Srivastava, Alvi Ishmam +2
Multimodal foundation models that integrate audio, vision, and language achieve strong performance on reasoning and generation tasks, yet their robustness to adversarial manipulati…