4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments
Simon Queyrut, Valerio Schiavoni, Pascal Felber
The main premise of federated learning (FL) is that machine learning model updates are computed locally to preserve user data privacy. This approach avoids by design user data to e…
cs.LG2023★ 4 cited
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni
The main premise of federated learning is that machine learning model updates are computed locally, in particular to preserve user data privacy, as those never leave the perimeter…