66 citations · 66 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Elad Sofer, Tomer Shaked, Caroline Chaux +1
Machine learning (ML) models are often sensitive to carefully crafted yet seemingly unnoticeable perturbations. Such adversarial examples are considered to be a property of ML mode…
cs.LG2022★ 66 cited
Joint Privacy Enhancement and Quantization in Federated Learning
Natalie Lang, Elad Sofer, Tomer Shaked +1
Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives ri…