Sy-Tuyen Ho

Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment

Transformers Know When They Don’t Know: Layer-Wise Distance Awareness for OOD Detection

Model Inversion Attacks on Vision-Language Models: Do They Leak What They Learn?

Memory Makes The Poison: Over Memorization Drives Visual Poisoning in LVLMs

Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights

Model Inversion Robustness: Can Transfer Learning Help?