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Carter Wood Blum

dblp:348/6778 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Trustworthy machine learning · 50% Language models and text generation · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › robustness
adversarial robustness
0.712023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text · ACL (1) 2023
Natural language and speech › Language models and text generation › text generation
text rewriting
0.712023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text · ACL (1) 2023

Methods — techniques the papers use, named apart from their topics

text rewriting · 0.7adversarial defense · 0.7
YearPublicationVenuePosition
2023 Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
abstract
Ashim Gupta, Carter Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar
ACL (1)2