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2020 – today
- 2024
[j1]Jelle Vos, Sikha Pentyala, Steven Golob, Ricardo Maia, Dean F. Kelley, Zekeriya Erkin, Martine De Cock, Anderson Nascimento:
Privacy-Preserving Membership Queries for Federated Anomaly Detection. Proc. Priv. Enhancing Technol. 2024(3): 186-201 (2024)- [c5]Sikha Pentyala, Mayana Pereira, Martine De Cock:
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources. ICML 2024 - [i12]Steven Golob, Sikha Pentyala, Anuar Maratkhan, Martine De Cock:
High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes. CoRR abs/2402.06699 (2024) - [i11]Sikha Pentyala, Mayana Pereira, Martine De Cock:
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources. CoRR abs/2402.08614 (2024) - 2023
- [c4]Steven Golob
, Sikha Pentyala, Rafael Dowsley, Bernardo David, Mario Larangeira, Martine De Cock, Anderson C. A. Nascimento:
A Decentralized Information Marketplace Preserving Input and Output Privacy. DEC@SIGMOD 2023: 1-6 - [c3]Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi:
Privacy-Preserving Fair Item Ranking. ECIR (2) 2023: 188-203 - [i10]Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi:
Privacy-Preserving Fair Item Ranking. CoRR abs/2303.02916 (2023) - [i9]Sikha Pentyala, Shubham Sharma, Sanjay Kariyappa, Freddy Lécué, Daniele Magazzeni:
Privacy-Preserving Algorithmic Recourse. CoRR abs/2311.14137 (2023) - [i8]Ricardo J. M. Maia, Dustin Ray, Sikha Pentyala, Rafael Dowsley, Martine De Cock, Anderson C. A. Nascimento, Ricardo Jacobi:
An End-to-End Framework for Private DGA Detection as a Service. IACR Cryptol. ePrint Arch. 2023: 1644 (2023) - 2022
- [i7]Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Martine De Cock:
Training Differentially Private Models with Secure Multiparty Computation. CoRR abs/2202.02625 (2022) - [i6]Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi:
PrivFair: a Library for Privacy-Preserving Fairness Auditing. CoRR abs/2202.04058 (2022) - [i5]Sikha Pentyala, Nicola Neophytou, Anderson C. A. Nascimento, Martine De Cock, Golnoosh Farnadi:
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning. CoRR abs/2205.11584 (2022) - [i4]Mayana Pereira, Sikha Pentyala, Anderson C. A. Nascimento, Rafael T. de Sousa Jr., Martine De Cock:
Secure Multiparty Computation for Synthetic Data Generation from Distributed Data. CoRR abs/2210.07332 (2022) - [i3]Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson C. A. Nascimento, Martine De Cock:
Training Differentially Private Models with Secure Multiparty Computation. IACR Cryptol. ePrint Arch. 2022: 146 (2022) - 2021
- [c2]Sikha Pentyala, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Video Classification with Convolutional Neural Networks. ICML 2021: 8487-8499 - [c1]Fares Tabet, Sikha Pentyala, Birva H. Patel, Abdeltawab M. Hendawi, Peiwei Cao, Ashley Song, Harsh Govind, Mohamed Ali:
OSMRunner : A System for Exploring and Fixing OSM Connectivity. MDM 2021: 193-200 - [i2]Sikha Pentyala, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Video Classification with Convolutional Neural Networks. CoRR abs/2102.03513 (2021) - [i1]Sikha Pentyala, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Video Classification with Convolutional Neural Networks. IACR Cryptol. ePrint Arch. 2021: 131 (2021)
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