Papers by Keuntae Park

1 papers
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers (2025.emnlp-main)

Copied to clipboard

Challenge: Recent studies have revealed that tokenizers can be exploited to elicit unwanted behavior.
Approach: They propose to exploit incomplete tokens with stray bytes to exploit their dependency . they propose to use improbable bigrams to exploit the dependency of their adjacent tokens .
Outcome: The proposed tokenizers can be exploited to elicit unwanted behavior in language models.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations