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20122023
most citedDetecting Adversarial Samples from Artifacts

366 citations · 699 across the 19 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.DB2018

Functional Aggregate Queries with Additive Inequalities

Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley +4

Motivated by fundamental applications in databases and relational machine learning, we formulate and study the problem of answering functional aggregate queries (FAQ) in which some…

cs.MS2018★ 33 cited

Practical Sparse Matrices in C++ with Hybrid Storage and Template-Based Expression Optimisation

Conrad Sanderson, Ryan Curtin

Despite the importance of sparse matrices in numerous fields of science, software implementations remain difficult to use for non-expert users, generally requiring the understandin…

cs.MS2018

ensmallen: a flexible C++ library for efficient function optimization

Shikhar Bhardwaj, Ryan R. Curtin, Marcus Edel +2

We present ensmallen, a fast and flexible C++ library for mathematical optimization of arbitrary user-supplied functions, which can be applied to many machine learning problems. Se…

cs.CR2018

Detecting DGA domains with recurrent neural networks and side information

Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski +2

Modern malware typically makes use of a domain generation algorithm (DGA) to avoid command and control domains or IPs being seized or sinkholed. This means that an infected system…

cs.MS2018★ 111 cited

A User-Friendly Hybrid Sparse Matrix Class in C++

Conrad Sanderson, Ryan Curtin

When implementing functionality which requires sparse matrices, there are numerous storage formats to choose from, each with advantages and disadvantages. To achieve good performan…