Sikha Pentyala

According to our database, Sikha Pentyala authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Secure Cross-Silo Synthetic Genomic Data Generation.

Daniil Filienko, Martine De Cock, Sikha Pentyala

CoRR, April, 2026

FHAIM: Fully Homomorphic AIM For Private Synthetic Data Generation.

Mayank Kumar, Qian Lou, Paulo Barreto, Martine De Cock, Sikha Pentyala

CoRR, February, 2026

2025

Privacy Vulnerabilities in Marginals-based Synthetic Data.

Steven Golob, Sikha Pentyala, Anuar Maratkhan, Martine De Cock

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

Privacy-Preserving Membership Queries for Federated Anomaly Detection.

Jelle Vos, Sikha Pentyala, Steven Golob, Ricardo Maia, Dean F. Kelley, Zekeriya Erkin, Martine De Cock, Anderson Nascimento

Proc. Priv. Enhancing Technol., 2024

End to End Collaborative Synthetic Data Generation.

Sikha Pentyala, Geetha Sitaraman, Trae Claar, Martine De Cock

CoRR, 2024

High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes.

Steven Golob, Sikha Pentyala, Anuar Maratkhan, Martine De Cock

CoRR, 2024

CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources.

Sikha Pentyala, Mayana Pereira, Martine De Cock

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Privacy-Preserving Group Fairness in Cross-Device Federated Learning.

Sikha Pentyala, Nicola Neophytou, Anderson Nascimento, Martine De Cock, Golnoosh Farnadi

Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 2024

2023

An End-to-End Framework for Private DGA Detection as a Service.

Ricardo J. M. Maia, Dustin Ray, Sikha Pentyala, Rafael Dowsley, Martine De Cock, Anderson C. A. Nascimento, Ricardo Jacobi

IACR Cryptol. ePrint Arch., 2023

Privacy-Preserving Algorithmic Recourse.

Sikha Pentyala, Shubham Sharma, Sanjay Kariyappa, Freddy Lécué, Daniele Magazzeni

CoRR, 2023

Privacy-Preserving Fair Item Ranking.

Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi

Proceedings of the Advances in Information Retrieval, 2023

A Decentralized Information Marketplace Preserving Input and Output Privacy.

Steven Golob, Sikha Pentyala, Rafael Dowsley, Bernardo David, Mario Larangeira, Martine De Cock, Anderson C. A. Nascimento

Proceedings of the Second ACM Data Economy Workshop, 2023

2022

Training Differentially Private Models with Secure Multiparty Computation.

Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Martine De Cock

IACR Cryptol. ePrint Arch., 2022

Secure Multiparty Computation for Synthetic Data Generation from Distributed Data.

Mayana Pereira, Sikha Pentyala, Anderson C. A. Nascimento, Rafael T. de Sousa Jr., Martine De Cock

CoRR, 2022

PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning.

Sikha Pentyala, Nicola Neophytou, Anderson C. A. Nascimento, Martine De Cock, Golnoosh Farnadi

CoRR, 2022

PrivFair: a Library for Privacy-Preserving Fairness Auditing.

Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi

CoRR, 2022

2021

OSMRunner : A System for Exploring and Fixing OSM Connectivity.

Fares Tabet, Sikha Pentyala, Birva H. Patel, Abdeltawab M. Hendawi, Peiwei Cao, Ashley Song, Harsh Govind, Mohamed Ali

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Privacy-Preserving Video Classification with Convolutional Neural Networks.

Sikha Pentyala, Rafael Dowsley, Martine De Cock

Proceedings of the 38th International Conference on Machine Learning, 2021