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Mengdi Huai

18 papers at tracked venues · 14 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Quantifying and Understanding Uncertainty in Large Reasoning Models
  2. Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models
  3. Membership Inference Attacks With False Discovery Rate Control
  4. Neuron Explanations for Conformal Prediction (Student Abstract)
  5. Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering
  6. Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten
  7. AdvST: Revisiting Data Augmentations for Single Domain Generalization
  8. Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)
  9. Backdoor Attacks via Machine Unlearning
  10. Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
  11. Data Poisoning Attacks against Conformal Prediction
  12. Fostering Trustworthiness in Machine Learning Algorithms
    AAAI 2024 · Mengdi Huai
  13. Improving Interpretation Faithfulness for Vision Transformers
  14. MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation
  15. Modeling and Understanding Uncertainty in Medical Image Classification
  16. Rethinking Adversarial Robustness in the Context of the Right to be Forgotten
  17. Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
  18. Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction