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 002 (MDM, 2021)

Privacy-Preserving Video Classification with Convolutional Neural Networks. - Sikha Pentyala; Rafael Dowsley; Martine De Cock (IACR Cryptol. ePrint Arch., 2021)

PrivFair: a Library for Privacy-Preserving Fairness Auditing. - Sikha Pentyala; David Melanson; Martine De Cock; Golnoosh Farnadi (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)

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)

Training Differentially Private Models with Secure Multiparty Computation. - Sikha Pentyala; Davis Railsback; Ricardo Maia 001; Rafael Dowsley; David Melanson; Anderson C. A. Nascimento; Martine De Cock (IACR Cryptol. ePrint Arch., 2022)

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 (DEC@SIGMOD, 2023)

Privacy-Preserving Fair Item Ranking. - Jia Ao Sun; Sikha Pentyala; Martine De Cock; Golnoosh Farnadi (ECIR (2), 2023)

Privacy-Preserving Algorithmic Recourse. - Sikha Pentyala; Shubham Sharma; Sanjay Kariyappa; Freddy Lécué; Daniele Magazzeni (CoRR, 2023)

An End-to-End Framework for Private DGA Detection as a Service. - Ricardo J. M. Maia 001; Dustin Ray; Sikha Pentyala; Rafael Dowsley; Martine De Cock; Anderson C. A. Nascimento; Ricardo Jacobi (IACR Cryptol. ePrint Arch., 2023)

CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources. - Sikha Pentyala; Mayana Pereira; Martine De Cock (ICML, 2024)

High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes. - Steven Golob; Sikha Pentyala; Anuar Maratkhan; Martine De Cock (CoRR, 2024)

End to End Collaborative Synthetic Data Generation. - Sikha Pentyala; Geetha Sitaraman; Trae Claar; Martine De Cock (CoRR, 2024)

Privacy-Preserving Membership Queries for Federated Anomaly Detection. - Jelle Vos; Sikha Pentyala; Steven Golob; Ricardo Maia 001; Dean F. Kelley; Zekeriya Erkin; Martine De Cock; Anderson Nascimento (Proc. Priv. Enhancing Technol., 2024)

Privacy Vulnerabilities in Marginals-based Synthetic Data. - Steven Golob; Sikha Pentyala; Anuar Maratkhan; Martine De Cock (SaTML, 2025)