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1
The Abuser Inside Apps: Finding the Culprit Committing Mobile Ad Fraud
NDSS'21
2
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
USENIX Security'20
3
FUSE: Finding File Upload Bugs via Penetration Testing
NDSS'20
4
Who Spent My EOS? On the (In)Security of Resource Management of EOS.IO
USENIX WOOT'19
5
Pride and Prejudice in Progressive Web Apps: Abusing Native App-like Features in Web Applications
CCS'18
6
Doppelgängers on the Dark Web: A Large-scale Assessment on Phishing Hidden Web Services
WWW'19
7
Private Investigator: Extracting Personally Identifiable Information from Large Language Models Using Optimized Prompts
Seongho Keum, Dongwon Shin, Leo Marchyok, Sanghyun Hong, Sooel Son
8
Refusal Is Not an Option: Unlearning Safety Alignment of Large Language Models
Minkyoo Song, Hanna Kim, Jaehan Kim, Seungwon Shin, Sooel Son
9
TrustyMon: Practical Detection of DOM-based Cross-Site Scripting Attacks Using Trusted Types.
Sunnyeo Park, Jihwan Kim, Seongho Keum, Hyunjoon Lee, Sooel Son
10
Evaluating Robustness of Reference-based Phishing Detectors.
Eunjin Roh, Sungwoo Jeon, Sooel Son, Sanghyun Hong
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