3 citations · 5 across the 5 of their papers we have counts for
5 papers
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
Eugene Jang, Kimin Lee, Jin-Woo Chung +2
Tokenization is a crucial step that bridges human-readable text with model-readable discrete tokens. However, recent studies have revealed that tokenizers can be exploited to elici…
Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding
Jian Cui, Hanna Kim, Eugene Jang +6
Twitter is recognized as a crucial platform for the dissemination and gathering of Cyber Threat Intelligence (CTI). Its capability to provide real-time, actionable intelligence mak…
Ignore Me But Don't Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
Eugene Jang, Jian Cui, Dayeon Yim +4
Cybersecurity information is often technically complex and relayed through unstructured text, making automation of cyber threat intelligence highly challenging. For such text domai…
DarkBERT: A Language Model for the Dark Side of the Internet
Youngjin Jin, Eugene Jang, Jian Cui +3
Recent research has suggested that there are clear differences in the language used in the Dark Web compared to that of the Surface Web. As studies on the Dark Web commonly require…
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs
Hanna Kim, Jian Cui, Eugene Jang +4
As Non-Fungible Tokens (NFTs) continue to grow in popularity, NFT users have become targets of phishing attacks by cybercriminals, called \textit{NFT drainers}. Over the last year,…