Mengnan Du

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

M<sup>4</sup>: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fairness via Group Contribution Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FAIRER: Fairness as Decision Rationale Alignment.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Error Detection on Knowledge Graphs with Triple Embedding.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

XGBD: Explanation-Guided Graph Backdoor Detection.

[BibT_eX]

[DOI]

Zihan Guan

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Subarchitecture Ensemble Pruning in Neural Architecture Search.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Understanding Social Biases Behind Location Names in Contextual Word Embedding Models.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Differentiated Explanation of Deep Neural Networks With Skewed Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mitigating Relational Bias on Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Fair Machine Learning in Healthcare: A Review.

[BibT_eX]

[DOI]

CoRR, 2022

Unveiling Project-Specific Bias in Neural Code Models.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Learning Disentangled Representations for Time Series.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Accelerating Shapley Explanation via Contributive Cooperator Selection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

DEGREE: Decomposition Based Explanation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Debiasing DNN Models from Spurious Feature Influence.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

Adversarial Attacks and Defenses: An Interpretation Perspective.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

Learning credible DNNs via incorporating prior knowledge and model local explanation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Fairness in Deep Learning: A Computational Perspective.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

CoRR, 2021

Learning Disentangled Representations for Time Series.

[BibT_eX]

[DOI]

CoRR, 2021

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fairness via Representation Neutralization.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Xia Ben Hu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MultiCode: A Unified Code Analysis Framework based on Multi-type and Multi-granularity Semantic Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

Machine Learning Explanations to Prevent Overtrust in Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

A Unified Taylor Framework for Revisiting Attribution Methods.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection.

[BibT_eX]

[DOI]

Ruixiang Tang

CoRR, 2020

Mitigating Gender Bias in Captioning Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Machine Learning: An Interpretation Perspective.

[BibT_eX]

[DOI]

CoRR, 2020

Techniques for interpretable machine learning.

[BibT_eX]

[DOI]

Commun. ACM, 2020

Deep Neural Networks with Knowledge Instillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Score-CAM: Improved Visual Explanations Via Score-Weighted Class Activation Mapping.

[BibT_eX]

[DOI]

CoRR, 2019

Sub-Architecture Ensemble Pruning in Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Generalizable Forgery Detection with Locality-aware AutoEncoder.

[BibT_eX]

[DOI]

CoRR, 2019

Evaluating Explanation Without Ground Truth in Interpretable Machine Learning.

[BibT_eX]

[DOI]

Fan Yang

CoRR, 2019

XFake: Explainable Fake News Detector with Visualizations.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Representation Interpretation with Spatial Encoding and Multimodal Analytics.

[BibT_eX]

[DOI]