A New Dynamically Changing Attack on Review Fraud Systems and a Dynamically Changing Ensemble Defense. - Youzhi Zhang 001; Sayak Chakrabarty; Rui Liu 014; Andrea Pugliese 001; V. S. Subrahmanian (DASC/PiCom/CBDCom/CyberSciTech, 2022)

On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis. - Arghya Datta; Sayak Chakrabarty (NeurIPS, 2023)

Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple! - Konstantin Makarychev; Sayak Chakrabarty (NeurIPS, 2023)

Judicial Support Tool: Finding the k Most Likely Judicial Worlds. - Maksim Bolonkin; Sayak Chakrabarty; Cristian Molinaro; V. S. Subrahmanian (SUM, 2024)

Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach. - Sayak Chakrabarty; Souradip Pal (CoRR, 2024)

SockDef: A Dynamically Adaptive Defense to a Novel Attack on Review Fraud Detection Engines. - Youzhi Zhang 001; Sayak Chakrabarty; Rui Liu 014; Andrea Pugliese 001; V. S. Subrahmanian (IEEE Trans. Comput. Soc. Syst., 2024)

CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median. - Imon Banerjee; Sayak Chakrabarty (CoRR, 2025)

ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach. - Sayak Chakrabarty; Souradip Pal (J. Open Source Softw., 2025)

MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models. - Sayak Chakrabarty; Souradip Pal (J. Open Source Softw., 2025)

CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings. - Randeep Bhatia; Nikos Papadis; Murali S. Kodialam; T. V. Lakshman; Sayak Chakrabarty (CoRR, 2025)