Joint work with Nandan Jha, Zahra Ghodsi and Brandon Reagen, DeepReDuce seeks to eliminate redundant or ineffectual ReLUs from a deep network to support private inference. Compared to the state-of-the-art for private inference, DeepReDuce improves accuracy and reduced ReLU count by up to 3.5% and 3.5×, respectively.