221 citations · 1.1k across the 24 of their papers we have counts for
4 papers · 1 filter
Adversarial Examples for Models of Code
Noam Yefet, Uri Alon, Eran Yahav
Neural models of code have shown impressive results when performing tasks such as predicting method names and identifying certain kinds of bugs. We show that these models are vulne…
Structural Language Models of Code
Uri Alon, Roy Sadaka, Omer Levy +1
We address the problem of any-code completion - generating a missing piece of source code in a given program without any restriction on the vocabulary or structure. We introduce a…
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu +88
Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models a…
Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs
Yaniv David, Uri Alon, Eran Yahav
We address the problem of reverse engineering of stripped executables, which contain no debug information. This is a challenging problem because of the low amount of syntactic info…