Huai, Mengdi

22 publications

ICCV 2025 Membership Inference Attacks with False Discovery Rate Control Chenxu Zhao, Wei Qian, Aobo Chen, Mengdi Huai

AAAI 2025 Neuron Explanations for Conformal Prediction (Student Abstract) Divya Lidder, Kathryn Morse, Bridget Sullivan, Wei Qian, Chenglin Miao, Mengdi Huai

AAAI 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization Guangtao Zheng, Mengdi Huai, Aidong Zhang

AAAI 2024 Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract) Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

AAAI 2024 Backdoor Attacks via Machine Unlearning Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao

ICML 2024 Bridging Model Heterogeneity in Federated Learning via Uncertainty-Based Asymmetrical Reciprocity Learning Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma

ICML 2024 Data Poisoning Attacks Against Conformal Prediction Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai

AAAI 2024 Fostering Trustworthiness in Machine Learning Algorithms Mengdi Huai

ICML 2024 Improving Interpretation Faithfulness for Vision Transformers Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

ICML 2024 Rethinking Adversarial Robustness in the Context of the Right to Be Forgotten Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai

AAAI 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai

AAAI 2023 SEAT: Stable and Explainable Attention Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

NeurIPS 2023 Static and Sequential Malicious Attacks in the Context of Selective Forgetting Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai

AAAI 2023 Understanding and Enhancing Robustness of Concept-Based Models Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang

AAAI 2022 Towards Automating Model Explanations with Certified Robustness Guarantees Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

IJCAI 2021 Differentially Private Pairwise Learning Revisited Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang

AAAI 2020 EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang

AAAI 2020 Pairwise Learning with Differential Privacy Guarantees Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

AAAI 2020 Towards Interpretation of Pairwise Learning Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang

IJCAI 2019 Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang

IJCAI 2019 Privacy-Aware Synthesizing for Crowdsourced Data Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang