most citedA Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing

11 citations · 18 across the 2 of their papers we have counts for

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2 papers

cs.CR2024★ 11 cited

A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing

Daniel Gibert, Giulio Zizzo, Quan Le +1

Deep learning-based malware detectors have been shown to be susceptible to adversarial malware examples, i.e. malware examples that have been deliberately manipulated in order to a…

cs.CL2023★ 7 cited

American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers

Melissa Dell, Jacob Carlson, Tom Bryan +7

Existing full text datasets of U.S. public domain newspapers do not recognize the often complex layouts of newspaper scans, and as a result the digitized content scrambles texts fr…