4 citations · 16 across the 5 of their papers we have counts for
5 papers
Backpropagation Clipping for Deep Learning with Differential Privacy
Timothy Stevens, Ivoline C. Ngong, David Darais +3
We present backpropagation clipping, a novel variant of differentially private stochastic gradient descent (DP-SGD) for privacy-preserving deep learning. Our approach clips each tr…
Logical Segmentation of Source Code
Jacob Dormuth, Ben Gelman, Jessica Moore +1
Many software analysis methods have come to rely on machine learning approaches. Code segmentation - the process of decomposing source code into meaningful blocks - can augment the…
A Language-Agnostic Model for Semantic Source Code Labeling
Ben Gelman, Bryan Hoyle, Jessica Moore +2
Code search and comprehension have become more difficult in recent years due to the rapid expansion of available source code. Current tools lack a way to label arbitrary code at sc…
A Convolutional Neural Network for Language-Agnostic Source Code Summarization
Jessica Moore, Ben Gelman, David Slater
Descriptive comments play a crucial role in the software engineering process. They decrease development time, enable better bug detection, and facilitate the reuse of previously wr…
Malicious Behavior Detection using Windows Audit Logs
Konstantin Berlin, David Slater, Joshua Saxe
As antivirus and network intrusion detection systems have increasingly proven insufficient to detect advanced threats, large security operations centers have moved to deploy endpoi…