1k citations · 2.9k across the 16 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.LG2018★ 31 cited
Curriculum Adversarial Training
Qi-Zhi Cai, Min Du, Chang Liu +1
Recently, deep learning has been applied to many security-sensitive applications, such as facial authentication. The existence of adversarial examples hinders such applications. Th…
cs.LG2018★ 524 cited
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini, Chang Liu, Úlfar Erlingsson +2
This paper describes a testing methodology for quantitatively assessing the risk that rare or unique training-data sequences are unintentionally memorized by generative sequence mo…
cs.AI2018★ 82 cited
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen, Chang Liu, Dawn Song
Program translation is an important tool to migrate legacy code in one language into an ecosystem built in a different language. In this work, we are the first to employ deep neura…