Praneeth Vepakomma
About
Praneeth Vepakomma has authored 13 papers that have received a total of 149 indexed citations.
This includes 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Privacy-Preserving Technologies in Data (7 papers), Adversarial Robustness in Machine Learning (4 papers) and Cryptography and Data Security (3 papers). Praneeth Vepakomma is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Adversarial Robustness in Machine Learning (4 papers) and Cryptography and Data Security (3 papers) and collaborates with scholars based in United States, Australia and Finland. Praneeth Vepakomma's co-authors include Ramesh Raskar, Mehdi Bennis, Ahmed Elgammal, Emily Zhang and Abhishek Singh and has published in prestigious journals such as Computer Methods and Programs in Biomedicine, Discrete Applied Mathematics and Applied and Computational Harmonic Analysis.
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