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researcher

Thai Le

The Pennsylvania State University

16 papers hereh-index 181.6k citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author8

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.LG4
  • cs.SI2
  • cs.CR1
  • cs.CY1
affiliations
  • The Pennsylvania State University
Homepage
same name
  • Thai Le — 10 papers, h 3
  • Thai Le — 9 papers, h 4
  • Thai Le — 5 papers, h 4
  • Thai Le — 3 papers, h 1
  • Thai Le — 3 papers, h 2
  • Thai Le — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedDo Language Models Plagiarize?

49 citations · 125 across the 16 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CY2022★ 2 cited

UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning

Ziyao Wang, Thai Le, Dongwon Lee

Consider a scenario where an author-e.g., activist, whistle-blower, with many public writings wishes to write "anonymously" when attackers may have already built an authorship attr…

cs.CL2022★ 3 cited

Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective

Adaku Uchendu, Thai Le, Dongwon Lee

Two interlocking research questions of growing interest and importance in privacy research are Authorship Attribution (AA) and Authorship Obfuscation (AO). Given an artifact, espec…

cs.LG2022★ 1 cited

Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense

Thai Le, Jooyoung Lee, Kevin Yen +2

We proposes a novel algorithm, ANTHRO, that inductively extracts over 600K human-written text perturbations in the wild and leverages them for realistic adversarial attack. Unlike…

cs.CL2022★ 49 cited

Do Language Models Plagiarize?

Jooyoung Lee, Thai Le, Jinghui Chen +1

Past literature has illustrated that language models (LMs) often memorize parts of training instances and reproduce them in natural language generation (NLG) processes. However, it…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.