Certifiable Machine Unlearning for Linear Models. - Ananth Mahadevan; Michael Mathioudakis (CoRR, 2021)

Robustness of Sketched Linear Classifiers to Adversarial Attacks. - Ananth Mahadevan; Arpit Merchant; Yanhao Wang 001; Michael Mathioudakis (CIKM, 2022)

Provable randomized rounding for minimum-similarity diversification. - Bruno Ordozgoiti; Ananth Mahadevan; Antonis Matakos; Aristides Gionis (Data Min. Knowl. Discov., 2022)

Scalably Using Node Attributes and Graph Structure for Node Classification. - Arpit Merchant; Ananth Mahadevan; Michael Mathioudakis (Entropy, 2022)

Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study. - Ananth Mahadevan; Michael Mathioudakis (Mach. Learn. Knowl. Extr., 2022)

Reception Reader: Exploring Text Reuse in Early Modern British Publications. - David Rosson; Eetu Mäkelä; Ville Vaara; Ananth Mahadevan; Yann Ciarán Ryan; Mikko Tolonen (CoRR, 2023)

Cost-Effective Retraining of Machine Learning Models. - Ananth Mahadevan; Michael Mathioudakis (CoRR, 2023)

Optimizing a Data Science System for Text Reuse Analysis. - Ananth Mahadevan; Michael Mathioudakis; Eetu Mäkelä; Mikko Tolonen (CoRR, 2024)

Cost-aware retraining for machine learning. - Ananth Mahadevan; Michael Mathioudakis (Knowl. Based Syst., 2024)