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Minjing Dong

Revisiting Uncertainty Estimation and Calibration of Large Language Models

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May 29, 2025
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VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models

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May 23, 2025
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A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions

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Apr 21, 2025
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Beyond One-Hot Labels: Semantic Mixing for Model Calibration

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Apr 18, 2025
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Survey of Adversarial Robustness in Multimodal Large Language Models

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Mar 18, 2025
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Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

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Nov 14, 2024
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Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model

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Oct 24, 2024
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Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors

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Oct 16, 2024
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Improving Fast Adversarial Training via Self-Knowledge Guidance

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Sep 26, 2024
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Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness

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Aug 16, 2024
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