1. S. Mohapatra, A. Gilad, B. Kimelfeld, X. He: Inconsistency Measures for Differentially Private Databases. Proc. ACM SIGMOD Int. Conf. on Management of Data, 2025.
2. S. Zhang, H. Sun, K. Knopf, S. Mohapatra, W. Pang, C. Wang, Y. Wang, M. Shafieinejad, D. Emerson, X. He: FedDPSyn: Federated Tabular Data Synthesis with Computational Differential Privacy. TPDP 2025.
3. S. Abedini, S. Mohapatra, D. B. Emerson, M. Shafieinejad, J. C. Cresswell, X. He: MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction. NeurIPS 2025 (Regulatable ML Workshop).
4. M. Ponomarenko, S. Abedini, M. Shafieinejad, D. B. Emerson, S. Mohapatra, X. He: CAPID: Context-Aware PII Detection for Question-Answering Systems. Proc. EACL 2025 (Volume 4: Student Research).
5. S. Mokhtari, S. Mohapatra, S. Kodeiri, F. Tramèr, G. Kamath: Rethinking Benchmarks for Private Image Classification. IEEE TCDE Bulletin, Dec 2025.
6. S. Mohapatra, S. Sasy, X. He, G. Kamath, O. Thakkar: The Role of Adaptive Optimisers for Honest Private Hyperparameter Selection. AAAI 2022
7. C. Ge, S. Mohapatra, X. He, I. F. Ilyas: Kamino: Constraint-Aware Differentially Private Data Synthesis. Proc. VLDB Endowment, 2021.
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