All Publications
Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
Under Review
SoundnessBench: Can Your AI Scientist Really Tell Good Research from Bad?
Under Review
Memory Makes The Poison: Over Memorization Drives Visual Poisoning in LVLMs
Under Review
Model Inversion Attacks on Vision-Language Models: Do They Leak What They
Learn?
CVPR 2026
Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable
Privacy Assessment
CVPR 2026 Findings
Vision Transformer Neural Architecture Search for Out-of-Distribution
Generalization
NeurIPS 2024