Daniel Lowd

Daniel Lowd has 2 papers in our library, in 2018, most of them on Machine translation; often with Dejing Dou, Javid Ebrahimi.

2 papers in our library · 2018

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Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library: the number of works on each and its rating among them.

The most cited first (OpenAlex and our library).

HotFlip: White-Box Adversarial Examples for Text Classification (2018 · 360 citations)
Character-level neural text classifiers can be fooled by tiny, nearly invisible edits, yet earlier NLP attacks mostly used black-box heuristics or random noise.
On Adversarial Examples for Character-Level Neural Machine Translation (2018 · 223 citations)
The paper asks how badly a character-level neural machine translation system can fail when an attacker sees its internals.

2 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 400 times (of the 141,840 papers whose bibliographies we read); 47 citing papers with a page here →.

Updated 24 October 2026