Polychroniadou, Antigoni

10 publications

ICML 2025 DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing Alexander Bienstock, Ujjwal Kumar, Antigoni Polychroniadou

ICML 2025 EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption Leo De Castro, Daniel Escudero, Adya Agrawal, Antigoni Polychroniadou, Manuela Veloso

NeurIPSW 2024 Armadillo: Robust Secure Aggregation for Federated Learning with Input Validation Yiping Ma, Yue Guo, Harish Karthikeyan, Antigoni Polychroniadou

ICML 2024 Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled

NeurIPSW 2024 DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Using Packed Secret Sharing Alexander Bienstock, Ujjwal Kumar, Antigoni Polychroniadou

NeurIPSW 2024 DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Using Packed Secret Sharing Alexander Bienstock, Antigoni Polychroniadou, Ujjwal Kumar

NeurIPSW 2024 Non-Interactive and Publicly Verifiable Zero-Knowledge Proof for Fair Decision Trees Elisaweta Masserova, Antigoni Polychroniadou, Akira Takahashi

NeurIPSW 2024 OPA: One-Shot Private Aggregation with Single Client Interaction and Its Applications to Federated Learning Harish Karthikeyan, Antigoni Polychroniadou

NeurIPSW 2024 PICASO: Secure Aggregation for Federated Learning with Minimal Synchronization Harish Karthikeyan, Antigoni Polychroniadou

NeurIPSW 2024 Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption Leo de Castro, Antigoni Polychroniadou, Daniel Escudero