| 2025 | AAAI | Active Fourier Auditor for Estimating Distributional Properties of ML Models. | Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu |
| 2025 | AAAI | When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. | Naheed Anjum Arafat, Debabrota Basu, Yulia Gel, Yuzhou Chen |
| 2025 | AAAI | Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback. | Riccardo Della Vecchia, Debabrota Basu |
| 2025 | AISTATS | Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage. | Achraf Azize, Debabrota Basu |
| 2025 | AISTATS | FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits. | Saptarshi Roy, Sunrit Chakraborty, Debabrota Basu |
| 2025 | ECAI | History-Aware and Dynamic Client Contribution in Federated Learning. | Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei |
| 2024 | AISTATS | Pure Exploration in Bandits with Linear Constraints. | Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi |
| 2024 | ALT | CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption. | Shubhada Agrawal, Timothe Mathieu, Debabrota Basu, Odalric-Ambrym Maillard |
| 2024 | COLT | Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? | Achraf Azize, Debabrota Basu |
| 2024 | ICLR | Augmented Bayesian Policy Search. | Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo |
| 2023 | AAAI | Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning. | Reda Ouhamma, Debabrota Basu, Odalric Maillard |
| 2023 | ICML | From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning. | Edwige Cyffers, Aurlien Bellet, Debabrota Basu |
| 2022 | AAAI | Algorithmic Fairness Verification with Graphical Models. | Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel |
| 2022 | AAAI | Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback. | Junxiong Wang, Debabrota Basu, Immanuel Trummer |
| 2022 | UAI | SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. | Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis |
| 2021 | AAAI | Justicia: A Stochastic SAT Approach to Formally Verify Fairness. | Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel |
| 2021 | SIGMOD | Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning. | Junxiong Wang, Immanuel Trummer, Debabrota Basu |
| 2020 | AISTATS | Bayesian Reinforcement Learning via Deep, Sparse Sampling. | Divya Grover, Debabrota Basu, Christos Dimitrakakis |
| 2020 | DEXA | Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences. | Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond, Stphane Bressan |
| 2019 | DASFAA | Privacy as a Service: Publishing Data and Models. | Ashish Dandekar, Debabrota Basu, Thomas Kister, Geong Sen Poh, Jia Xu, Stphane Bressan |
| 2019 | DEXA | Topological Data Analysis with \epsilon ϵ -net Induced Lazy Witness Complex. | Naheed Anjum Arafat, Debabrota Basu, Stphane Bressan |
| 2019 | DEXA | Differentially Private Non-parametric Machine Learning as a Service. | Ashish Dandekar, Debabrota Basu, Stphane Bressan |
| 2018 | DEXA | Differential Privacy for Regularised Linear Regression. | Ashish Dandekar, Debabrota Basu, Stphane Bressan |
| 2017 | DEXA | How to Find the Best Rated Items on a Likert Scale and How Many Ratings Are Enough. | Qing Liu, Debabrota Basu, Shruti Goel, Talel Abdessalem, Stphane Bressan |
| 2017 | ICDCS | Learn-as-You-Go with Megh: Efficient Live Migration of Virtual Machines. | Debabrota Basu, Xiayang Wang, Yang Hong, Haibo Chen, Stphane Bressan |
| 2015 | DEXA | Cost-Model Oblivious Database Tuning with Reinforcement Learning. | Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stphane Bressan |