Tejas Kulkarni
Computer Science · Purdue University West Lafayette
Publications
44
Citations
1,162
Est. group size
~1
Recurring co-author estimate
Active years
16
Publishing since 2011
This researcher's work centers on differential privacy, a set of mathematical techniques for analyzing data or training machine learning models while limiting what can be learned about any individual's information. Recent projects apply these privacy methods to federated learning (training models across many devices without centralizing data), Bayesian inference, hyperparameter tuning, and large language model in-context learning, with some earlier work on robotics perception and information-hiding techniques like steganography.
Publication output peaked around 2018-2019, dropped off in the following years including a gap in 2022, and has shown a modest, irregular resurgence from 2023 onward.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
arXiv (Cornell University) · 2025
- Differentially Private In-Context Learning with Nearest Neighbor Search
arXiv (Cornell University) · 2025
- Communication Efficient Differentially Private Federated Learning Using Second Order Information
Proceedings on Privacy Enhancing Technologies · 2024
- Bit Plane Segmentation and LBP-Based Coverless Video Steganography for Secure Data Transmission
Communications in computer and information science · 2024
- DCT based robust coverless information hiding scheme with high capacity
2023
- Practical Differentially Private Hyperparameter Tuning with Subsampling
arXiv (Cornell University) · 2023
- Practical Differentially Private Hyperparameter Tuning with Subsampling
2023
- Differentially Private Bayesian Inference for Generalized Linear Models
Research Explorer (The University of Manchester) · 2021
- Representation Matters: Improving Perception and Exploration for Robotics
2021
- Locally Differentially Private Bayesian Inference
Research Explorer (The University of Manchester) · 2021
- Implementation of Braille Tab
Lecture notes in networks and systems · 2021
- A Review of Literature on Braille Tab and the Underlying Technology
2020
- Differentially Private Bayesian Inference for Generalized Linear Models
arXiv (Cornell University) · 2020
- Representation Matters: Improving Perception and Exploration for\n Robotics
arXiv (Cornell University) · 2020
- Answering range queries under local differential privacy
Proceedings of the VLDB Endowment · 2019
- arXiv (Cornell University)×15
- Research Explorer (The University of Manchester)×2
- Proceedings of the VLDB Endowment×1
- Internet Mathematics×1
- Proceedings on Privacy Enhancing Technologies×1
- Atul Sharma
Computer Science · Purdue University West Lafayette
- Yiwei Zhang
Computer Science · Purdue University West Lafayette
- Chenghong Wang
Computer Science · Indiana University
- Fang-Yu Rao
Computer Science · Purdue University West Lafayette
- Joshua C. Zhao
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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