51 citations · 113 across the 6 of their papers we have counts for
6 papers
Generalized Group Data Attribution
Dan Ley, Suraj Srinivas, Shichang Zhang +2
Data Attribution (DA) methods quantify the influence of individual training data points on model outputs and have broad applications such as explainability, data selection, and noi…
Generative Social Choice
Sara Fish, Paul Gölz, David C. Parkes +4
The mathematical study of voting, social choice theory, has traditionally only been applicable to choices among a few predetermined alternatives, but not to open-ended decisions su…
Unique Exams: Designing assessments for integrity and fairness
Gili Rusak, Lisa Yan
Educators have faced new challenges in effective course assessment during the recent, unprecedented shift to remote online learning during the COVID-19 pandemic. In place of typica…
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
Florian Tramèr, Pascal Dupré, Gili Rusak +2
Perceptual ad-blocking is a novel approach that detects online advertisements based on their visual content. Compared to traditional filter lists, the use of perceptual signals is…
AST-Based Deep Learning for Detecting Malicious PowerShell
Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly
With the celebrated success of deep learning, some attempts to develop effective methods for detecting malicious PowerShell programs employ neural nets in a traditional natural lan…
Painting Outside the Box: Image Outpainting with GANs
Mark Sabini, Gili Rusak
The challenging task of image outpainting (extrapolation) has received comparatively little attention in relation to its cousin, image inpainting (completion). Accordingly, we pres…