Kargus: a highly-scalable software-based intrusion detection system MA Jamshed, J Lee, S Moon, I Yun, D Kim, S Lee, Y Yi, KS Park Proceedings of the 2012 ACM conference on Computer and communications …, 2012 | 154 | 2012 |
{QSYM}: A practical concolic execution engine tailored for hybrid fuzzing I Yun, S Lee, M Xu, Y Jang, T Kim 27th {USENIX} Security Symposium ({USENIX} Security 18), 745-761, 2018 | 136 | 2018 |
HDFI: Hardware-assisted data-flow isolation C Song, H Moon, M Alam, I Yun, B Lee, T Kim, W Lee, Y Paek 2016 IEEE Symposium on Security and Privacy (SP), 1-17, 2016 | 74 | 2016 |
APISan: Sanitizing {API} Usages through Semantic Cross-Checking I Yun, C Min, X Si, Y Jang, T Kim, M Naik 25th {USENIX} Security Symposium ({USENIX} Security 16), 363-378, 2016 | 57* | 2016 |
Cab-fuzz: Practical concolic testing techniques for {COTS} operating systems SY Kim, S Lee, I Yun, W Xu, B Lee, Y Yun, T Kim 2017 {USENIX} Annual Technical Conference ({USENIX}{ATC} 17), 689-701, 2017 | 32 | 2017 |
{REPT}: Reverse Debugging of Failures in Deployed Software W Cui, X Ge, B Kasikci, B Niu, U Sharma, R Wang, I Yun 13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018 | 24 | 2018 |
AVPASS: Leaking and Bypassing Antivirus Detection Model Automatically J Jung, C Jeon, M Wolotsky, I Yun, T Kim Black Hat USA Briefings (Black Hat USA), Las Vegas, NV, 2017 | 7 | 2017 |
Automatic techniques to systematically discover new heap exploitation primitives I Yun, D Kapil, T Kim 29th {USENIX} Security Symposium ({USENIX} Security 20), 2020 | 6 | 2020 |
Fuzzing JavaScript Engines with Aspect-preserving Mutation S Park, W Xu, I Yun, D Jang, T Kim 2020 IEEE Symposium on Security and Privacy (SP), 1629-1642, 2020 | 3 | 2020 |
Analyzing security of Korean USIM-based PKI certificate service S Park, S Park, I Yun, D Kim, Y Kim International Workshop on Information Security Applications, 95-106, 2014 | 1 | 2014 |
Concolic Execution Tailored for Hybrid Fuzzing I Yun Georgia Institute of Technology, 2020 | | 2020 |
Reverse debugging of software failures W Cui, X Ge, BCC Kasikci, B Niu, R Wang, I Yun US Patent 10,565,511, 2020 | | 2020 |