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....
Nassim Oufattole Towards Creating Synthetic Data Testbeds for Research S.M Thesis. Dept. of EECS, MIT. June 2023....
Frances R. Hartwell Zephyr: a Data-Centric Framework for Predictive Maintenance of Wind Turbines M.Eng Thesis. Dept. of EECS, MIT. February 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. ...
Zhuofan Xie Tracer: A Machine Learning Based Data Lineage Solver with Visualized Metadata Management M.Eng Thesis. Dept. of EECS, MIT. December 2021. ...
Alicia (Yi) Sun Algorithmic Fairness in Sequential Decision Making Ph.D. Thesis. Dept. of IDSS, MIT. October 2022....
Romain Palazzo Synthetic Data Assessment based on Model Improvement M.S Thesis. Dept. of Math, EPFL. July 2022....