Ankit Siva

Hi, I'm Ankit, a software engineer at AWS. I work on privacy, fairness and explainability in algorithms.



  1. Private Synthetic Data for Multitask Learning and Marginal Queries. Joint work with Giuseppe Vietri, C├ędric Archambeau,Sergul Aydore, William Brown, Michael Kearns, Aaron Roth, Shuai Tang and Steven Wu. In the proceedings of NeurIPS 2022.
  2. Differentially Private Query Release Through Adaptive Projection. Joint work with Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis and Aaron Roth. In the proceedings of ICML 2021. Source code available here.
  3. Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. Joint work with Michaela Hardt and the Amazon SageMaker Clarify team. In the proceedings of KDD 2021.
  4. Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning. Joint work with Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob and Rachel Cummings. In the proceedings of IISA 2021. Source code available here.
  5. CHORUS is Porous: Attacking Implementations of Differential Privacy. My thesis, advised by Rachel Cummings.
  6. 1 patent granted, 3 patent applications filed.


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