3.6k citations · 8k across the 37 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CR2018★ 17 cited
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin +4
We present a practical method for protecting data during the inference phase of deep learning based on bipartite topology threat modeling and an interactive adversarial deep networ…
eess.AS2018★ 9 cited
Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes
Bo Li, Yu Zhang, Tara Sainath +2
We present two end-to-end models: Audio-to-Byte (A2B) and Byte-to-Audio (B2A), for multilingual speech recognition and synthesis. Prior work has predominantly used characters, sub-…
cs.LG2018★ 5 cited
Optimal Completion Distillation for Sequence Learning
Sara Sabour, William Chan, Mohammad Norouzi
We present Optimal Completion Distillation (OCD), a training procedure for optimizing sequence to sequence models based on edit distance. OCD is efficient, has no hyper-parameters…