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Sikha Pentyala

3 accepted papers

2026

FHAIM: Fully Homomorphic AIM for Private Synthetic Data Generation

ICML 2026poster

Data is the lifeblood of AI, yet much of the most valuable data remains locked in silos due to privacy and regulations. As a result, AI remains heavily underutilized in many of the most important domains, including healthcare, education, and finance. Synthetic data generation (SDG), i.e.~the generat…

Cited by 0SourceScholar
2024

CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources

ICML 2024poster

Data is the lifeblood of the modern world, forming a fundamental part of AI, decision-making, and research advances. With increase in interest in data, governments have taken important steps towards a regulated data world, drastically impacting data sharing and data usability and resulting in massiv…

Cited by 3SourcePDFScholar
2021

Privacy-Preserving Video Classification with Convolutional Neural Networks

ICML 2021spotlight

Many video classification applications require access to personal data, thereby posing an invasive security risk to the users’ privacy. We propose a privacy-preserving implementation of single-frame method based video classification with convolutional neural networks that allows a party to infer a l…

Cited by 26SourcePDFScholar