Pharewell to Phishing. - Taehwan Choi; Sooel Son; Mohamed G. Gouda; Jorge Arturo Cobb (SSS, 2008)

The Hitchhiker's Guide to DNS Cache Poisoning. - Sooel Son; Vitaly Shmatikov (SecureComm, 2010)

RoleCast: finding missing security checks when you do not know what checks are. - Sooel Son; Kathryn S. McKinley; Vitaly Shmatikov (OOPSLA, 2011)

SAFERPHP: finding semantic vulnerabilities in PHP applications. - Sooel Son; Vitaly Shmatikov (PLAS, 2011)

Diglossia: detecting code injection attacks with precision and efficiency. - Sooel Son; Kathryn S. McKinley; Vitaly Shmatikov (CCS, 2013)

Model checking invariant security properties in OpenFlow. - Sooel Son; Seungwon Shin 001; Vinod Yegneswaran; Phillip A. Porras; Guofei Gu (ICC, 2013)

Fix Me Up: Repairing Access-Control Bugs in Web Applications. - Sooel Son; Kathryn S. McKinley; Vitaly Shmatikov (NDSS, 2013)

The Postman Always Rings Twice: Attacking and Defending postMessage in HTML5 Websites. - Sooel Son; Vitaly Shmatikov (NDSS, 2013)

What Mobile Ads Know About Mobile Users. - Sooel Son; Daehyeok Kim; Vitaly Shmatikov (NDSS, 2016)

Pride and Prejudice in Progressive Web Apps: Abusing Native App-like Features in Web Applications. - Jiyeon Lee; Hayeon Kim; Junghwan Park; Insik Shin; Sooel Son (CCS, 2018)

An Empirical Study of Prioritizing JavaScript Engine Crashes via Machine Learning. - Sunnyeo Park; Dohyeok Kim; Sooel Son (AsiaCCS, 2019)

Cybercriminal Minds: An investigative study of cryptocurrency abuses in the Dark Web. - Seunghyeon Lee; Changhoon Yoon; Heedo Kang; Yeonkeun Kim; Yongdae Kim; Dongsu Han; Sooel Son; Seungwon Shin 001 (NDSS, 2019)

FSF: Code Coverage-Driven Fuzzing for Software-Defined Networking. - Hyuntae Kim; Seongil Wi; Hyunjoo Lee; Sooel Son (WISA, 2019)

Hidden Figures: Comparative Latency Analysis of Cellular Networks with Fine-grained State Machine Models. - Sangwook Bae; Mincheol Son; Sooel Son; Yongdae Kim (HotMobile, 2019)

Who Spent My EOS? On the (In)Security of Resource Management of EOS.IO. - Sangsup Lee; Daejun Kim; Dongkwan Kim 001; Sooel Son; Yongdae Kim (WOOT @ USENIX Security Symposium, 2019)

Doppelgängers on the Dark Web: A Large-scale Assessment on Phishing Hidden Web Services. - Changhoon Yoon; Kwanwoo Kim; Yongdae Kim; Seungwon Shin 001; Sooel Son (WWW, 2019)

Lumos: Improving Smart Home IoT Visibility and Interoperability Through Analyzing Mobile Apps. - Jeongmin Kim; Steven Y. Ko; Sooel Son; Dongsu Han (ICNP, 2020)

FUSE: Finding File Upload Bugs via Penetration Testing. - Taekjin Lee; Seongil Wi; Suyoung Lee; Sooel Son (NDSS, 2020)

Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer. - Suyoung Lee; HyungSeok Han; Sang Kil Cha; Sooel Son (USENIX Security Symposium, 2020)

Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection. - Byunggill Joe; Jihun Hamm; Sung Ju Hwang; Sooel Son; Insik Shin (CoRR, 2020)

Security Analysis on Practices of Certificate Authorities in the HTTPS Phishing Ecosystem. - Doowon Kim; Haehyun Cho; Yonghwi Kwon 001; Adam Doupé; Sooel Son; Gail-Joon Ahn; Tudor Dumitras (AsiaCCS, 2021)

The Abuser Inside Apps: Finding the Culprit Committing Mobile Ad Fraud. - Joongyum Kim; Junghwan Park; Sooel Son (NDSS, 2021)

AdCube: WebVR Ad Fraud and Practical Confinement of Third-Party Ads. - Hyunjoo Lee; Jiyeon Lee; Daejun Kim; Suman Jana; Insik Shin; Sooel Son (USENIX Security Symposium, 2021)

HearMeOut: detecting voice phishing activities in Android. - Joongyum Kim; Jihwan Kim; Seongil Wi; Yongdae Kim; Sooel Son (MobiSys, 2022)

Learning to Generate Inversion-Resistant Model Explanations. - Hoyong Jeong; Suyoung Lee; Sung Ju Hwang; Sooel Son (NeurIPS, 2022)

Watching the Watchers: Practical Video Identification Attack in LTE Networks. - Sangwook Bae; Mincheol Son; Dongkwan Kim 001; CheolJun Park; Jiho Lee; Sooel Son; Yongdae Kim (USENIX Security Symposium, 2022)

FUGIO: Automatic Exploit Generation for PHP Object Injection Vulnerabilities. - Sunnyeo Park; Daejun Kim; Suman Jana; Sooel Son (USENIX Security Symposium, 2022)

Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning. - Soyoung Lee; Seongil Wi; Sooel Son (WWW, 2022)

HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property Graphs. - Seongil Wi; Sijae Woo; Joyce Jiyoung Whang; Sooel Son (WWW, 2022)

FuzzDocs: An Automated Security Evaluation Framework for IoT. - Myoungsung You; Yeonkeun Kim; Jaehan Kim; Minjae Seo; Sooel Son; Seungwon Shin 001; Seungsoo Lee (IEEE Access, 2022)

Targeted Adversarial Self-Supervised Learning. - Minseon Kim; Hyeonjeong Ha; Sooel Son; Sung Ju Hwang (CoRR, 2022)

AdCPG: Classifying JavaScript Code Property Graphs with Explanations for Ad and Tracker Blocking. - Changmin Lee; Sooel Son (CCS, 2023)

Margin-based Neural Network Watermarking. - Byungjoo Kim; Suyoung Lee; Seanie Lee; Sooel Son; Sung Ju Hwang (ICML, 2023)

DiffCSP: Finding Browser Bugs in Content Security Policy Enforcement through Differential Testing. - Seongil Wi; Trung Tin Nguyen; Jihwan Kim; Ben Stock; Sooel Son (NDSS, 2023)

Effective Targeted Attacks for Adversarial Self-Supervised Learning. - Minseon Kim; Hyeonjeong Ha; Sooel Son; Sung Ju Hwang (NeurIPS, 2023)

RICC: Robust Collective Classification of Sybil Accounts. - Dongwon Shin; Suyoung Lee; Sooel Son (WWW, 2023)

Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks. - Suyoung Lee; Wonho Song; Suman Jana; Meeyoung Cha; Sooel Son (IEEE Trans. Dependable Secur. Comput., 2023)

Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned. - Dongkwan Kim 001; Eunsoo Kim; Sang Kil Cha; Sooel Son; Yongdae Kim (IEEE Trans. Software Eng., 2023)

Scalable and Secure Virtualization of HSM With ScaleTrust. - Juhyeng Han; Insu Yun; Seongmin Kim; Taesoo Kim; Sooel Son; Dongsu Han (IEEE/ACM Trans. Netw., 2023)

You Only Perturb Once: Bypassing (Robust) Ad-Blockers Using Universal Adversarial Perturbations. - Dongwon Shin; Suyoung Lee; Sanghyun Hong 001; Sooel Son (ACSAC, 2024)

Targeted Model Inversion: Distilling style encoded in predictions. - Hoyong Jeong; Kiwon Chung; Sung Ju Hwang; Sooel Son (Comput. Secur., 2024)

AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption. - Joonsung Jeon; Woo Jae Kim; Suhyeon Ha; Sooel Son; Sung-Eui Yoon (ICLR, 2025)