---
title: "Jack Lanchantin — author profile and papers in our library"
description: "Jack Lanchantin: 2 papers on Elamur Research (2018–2020), h-index 13 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jack-lanchantin/"
---
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# Jack Lanchantin

Jack Lanchantin has 2 papers in our library, in 2018–2020; often with [Yanjun Qi](https://md.research.elamur.ai/free/en/authors/yanjun-qi/), [Eli Lifland](https://md.research.elamur.ai/free/en/authors/eli-lifland/), [John X. Morris](https://md.research.elamur.ai/free/en/authors/john-x-morris/).

2 papers in our library · 2018–2020

[OpenAlex](https://openalex.org/A5016503379) · [ORCID](https://orcid.org/0000-0003-0811-0944) · [Wikidata](https://www.wikidata.org/wiki/Q67213960) · [**h-index 13**](https://openalex.org/authors/A5016503379) · [46 works](https://openalex.org/works?filter=author.id:A5016503379) · [4,112 citations](https://openalex.org/works?filter=author.id:A5016503379&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jack-lanchantin/#papers) · [🔗 Cited 256 times in our library](https://md.research.elamur.ai/free/en/authors/jack-lanchantin/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2225](https://md.research.elamur.ai/free/en/paper-stars/page/23/#star-2225)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jack+Lanchantin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jack+Lanchantin) · [dblp](https://dblp.org/search?q=Jack+Lanchantin) · [ACL Anthology](https://aclanthology.org/search/?q=Jack+Lanchantin)

## Affiliations

[🎓**University of Virginia** Charlottesville · United States 2016–2021 · 17 papers](https://md.research.elamur.ai/free/en/universities/university-of-virginia/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Concepts, shelves and topics

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

## Works by year

### 2020s

[**2020** 1 paper Reevaluating Adversarial Examples in Natural Language](https://md.research.elamur.ai/free/en/papers/morris-2020-reevaluating-adversarial-examples-natural-language/)

### 2010s

[**2018** 1 paper Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers](https://md.research.elamur.ai/free/en/papers/gao-2018-black-box-generation-adversarial-text/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers](https://md.research.elamur.ai/free/en/papers/gao-2018-black-box-generation-adversarial-text/)** *(2018 · 838 citations)* Most earlier work on adversarial attacks against text classifiers assumed white-box access to the model's gradients or embeddings.
2. **[Reevaluating Adversarial Examples in Natural Language](https://md.research.elamur.ai/free/en/papers/morris-2020-reevaluating-adversarial-examples-natural-language/)** *(2020 · 151 citations)* Research on adversarial attacks against NLP models has no agreed notion of what makes an attack successful.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. [**Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers**Ji Gao, Jack Lanchantin, Mary Lou Soffa, et al.*arXiv:1801.04354 · 838 citations*](https://md.research.elamur.ai/free/en/papers/gao-2018-black-box-generation-adversarial-text/)
2. **[Reevaluating Adversarial Examples in Natural Language](https://md.research.elamur.ai/free/en/papers/morris-2020-reevaluating-adversarial-examples-natural-language/)**John Morris, Eli Lifland, Jack Lanchantin, et al.*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 151 citations*
3. **[Learning to Reason and Memorize with Self-Notes](https://arxiv.org/abs/2305.00833) · original ↗ · no summary yet · arXiv:2305.00833**Jack Lanchantin et al.*2023 · 20 citations*

## Co-authors here

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

- [Yanjun Qi](https://md.research.elamur.ai/free/en/authors/yanjun-qi/) ×2
- [Eli Lifland](https://md.research.elamur.ai/free/en/authors/eli-lifland/)
- [John X. Morris](https://md.research.elamur.ai/free/en/authors/john-x-morris/)
- [Yangfeng Ji](https://md.research.elamur.ai/free/en/authors/yangfeng-ji/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2020](https://md.research.elamur.ai/free/en/venues/findings/2020/)

## Cited by

Papers of our library cite their works 256 times (of the 141,840 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jack-lanchantin/cited-by/).

Updated 24 October 2026
