PHISH in MESH: Korean Adversarial Phonetic Substitution and Phonetic-Semantic Feature Integration Defense

27 May 2025

Papers citing "PHISH in MESH: Korean Adversarial Phonetic Substitution and Phonetic-Semantic Feature Integration Defense"

7 / 7 papers shown

Title
BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks Hanyong Lee Chaelyn Lee Yongjae Lee Jaesung Lee AAML 63 1 0 06 Feb 2025
K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings Chaewon Park Soohwan Kim Kyubyong Park Kunwoo Park 61 6 0 24 Oct 2023
Learning the Legibility of Visual Text Perturbations D. Seth Rickard Stureborg Danish Pruthi Bhuwan Dhingra AAML 73 7 0 09 Mar 2023
CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild Thai Le Ye Yiran Yifan Hu Dongwon Lee 71 5 0 16 Jan 2023
KLUE: Korean Language Understanding Evaluation Sungjoon Park Jihyung Moon Sungdong Kim Won Ik Cho Jiyoon Han ... Seonghyun Kim Lucy Park Alice Oh Jung-Woo Ha Kyunghyun Cho ELM VLM 123 198 0 20 May 2021
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters Hicham El Boukkouri Olivier Ferret Thomas Lavergne Hiroshi Noji Pierre Zweigenbaum Junichi Tsujii 164 162 0 20 Oct 2020
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks S. Rothe Shashi Narayan Aliaksei Severyn SILM 146 438 0 29 Jul 2019