25 citations · 64 across the 20 of their papers we have counts for
3 papers · 1 filter
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter
We study the problem of generating adversarial examples in a black-box setting, where we only have access to a zeroth order oracle, providing us with loss function evaluations. Alt…
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information
Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu +4
Understanding the models that characterize the thermal dynamics in a smart building is important for the comfort of its occupants and for its energy optimization. A significant amo…
FedDANE: A Federated Newton-Type Method
Tian Li, Anit Kumar Sahu, Manzil Zaheer +3
Federated learning aims to jointly learn statistical models over massively distributed remote devices. In this work, we propose FedDANE, an optimization method that we adapt from D…