CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks. - Natalie Lang; Elad Sofer; Nir Shlezinger; Rafael G. L. D'Oliveira; Salim El Rouayheb (ICASSP, 2023)

On the Interpretable Adversarial Sensitivity of Iterative Optimizers. - Elad Sofer; Nir Shlezinger (MLSP, 2023)

Joint Privacy Enhancement and Quantization in Federated Learning. - Natalie Lang; Elad Sofer; Tomer Shaked; Nir Shlezinger (IEEE Trans. Signal Process., 2023)

Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers. - Elad Sofer; Tomer Shaked; Caroline Chaux; Nir Shlezinger (CoRR, 2025)