activity
20192026
most citedQuery-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks

20 citations · 58 across the 30 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.LG2020★ 3 cited

FAT: Federated Adversarial Training

Giulio Zizzo, Ambrish Rawat, Mathieu Sinn +1

Federated learning (FL) is one of the most important paradigms addressing privacy and data governance issues in machine learning (ML). Adversarial training has emerged, so far, as…