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SUMMARY:Towards secure and efficient DNNs - Aaron Zhao\, University of Cam
 bridge
DTSTART:20190531T110000Z
DTEND:20190531T120000Z
UID:TALK116692@talks.cam.ac.uk
CONTACT:Andrew Caines
DESCRIPTION:On the efficiency side\, I will show our recent progress on ne
 ural network compression methods that help to drastically reduce the size 
 and the compute of a particular neural network. In addition\, I will have 
 a slight touch on the custom hardware accelerator that we've built for acc
 elerating DNN inference. On the safety side\, I will demonstrate the porta
 bility of adversarial samples and show an alternative detection method tha
 t rejects cheap adversarial samples with minimal computation cost.\n
LOCATION:FW26\, Computer Laboratory
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