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cs.LG2026
How Many Counterfactuals Does It Take? Probing VLM Hallucinations Through Circuits and Causal Effects
Abhivansh Gupta, Simardeep Singh, Advika Sinha +2
Visual Language Models (VLMs) are known to produce hallucinated predictions that are not grounded in visual evidence, yet existing approaches lack a principled understanding of how…
cs.LG2026
OmniPatch: A Universal Adversarial Patch for ViT-CNN Cross-Architecture Transfer in Semantic Segmentation
Aarush Aggarwal, Akshat Tomar, Amritanshu Tiwari +1
Robust semantic segmentation is crucial for safe autonomous driving, yet deployed models remain vulnerable to black-box adversarial attacks when target weights are unknown. Most ex…