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Most consumer IoT devices are vertically integrated with cloud-side infrastructure. Such architectures present enormous risk to user data, exacerbated by...
We study the problem of approximating stationary points of Lipschitz and smooth functions under $(varepsilon,delta)$-differential privacy (DP) in both the...
Recent works have tried to increase the verifiability of adversarially trained networks by running the attacks over domains larger than...
Given the volume of data needed to train modern machine learning models, external suppliers are increasingly used. However, incorporating external...
In the realm of online privacy, privacy assistants play a pivotal role in empowering users to manage their privacy effectively....
Given the volume of data needed to train modern machine learning models, external suppliers are increasingly used. However, incorporating external...
In the realm of online privacy, privacy assistants play a pivotal role in empowering users to manage their privacy effectively....
In the realm of online privacy, privacy assistants play a pivotal role in empowering users to manage their privacy effectively....
We consider cross-silo federated linear contextual bandit (LCB) problem under differential privacy, where multiple silos (agents) interact with the local...
We consider cross-silo federated linear contextual bandit (LCB) problem under differential privacy, where multiple silos (agents) interact with the local...