Lei Xu, Sarah Alnegheimish, Laure Berti-Equille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers Preprint. January 2024....
Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni Pyreal: A Framework for Interpretable ML Explanations Preprint. December 2023....
Alexandra Zytek, Wei-En Wang, Sofia Koukoura, Kalyan Veeramachaneni Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring NeurIPS XAI in Action. Workshop on XAI in Action: Past, Present, and Future Applications, December 2023....
Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni AER: Auto-Encoder with Regression for Time Series Anomaly Detection BigData-2022. In Proceedings of IEEE International Conference on Big Data, December 2022. ...
Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series CSCW-2022. In Proceedings of the ACM Conference On Computer-Supported Cooperative Work And Social Computing, October 2022....
Lei Xu, Laure Berti-Equille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers ICONIP-2022. In Proceedings of the International Conference on Neural Information Processing, November 2022. AdvML-2022. In KDD Workshop on Adversarial Learning Methods for Machine Learning and Data Mining, August 2022....