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2020 – today
- 2024
[j10]Tae Eun Kim
, Jaeseung Choi, Seongjae Im, Kihong Heo, Sang Kil Cha:
Evaluating Directed Fuzzers: Are We Heading in the Right Direction? Proc. ACM Softw. Eng. 1(FSE): 316-337 (2024)- [c16]Seungwan Kwon, Jaeseong Kwon, Wooseok Kang, Juneyoung Lee, Kihong Heo:
Translation Validation for JIT Compiler in the V8 JavaScript Engine. ICSE 2024: 178:1-178:12 - 2023
- [c15]Tae Eun Kim, Jaeseung Choi, Kihong Heo, Sang Kil Cha:
DAFL: Directed Grey-box Fuzzing guided by Data Dependency. USENIX Security Symposium 2023: 4931-4948 - 2022
- [c14]Pardis Pashakhanloo, Aravind Machiry, Hyon-Young Choi, Anthony Canino, Kihong Heo, Insup Lee, Mayur Naik:
PacJam: Securing Dependencies Continuously via Package-Oriented Debloating. AsiaCCS 2022: 903-916 - [c13]Wooseok Kang, Byoungho Son, Kihong Heo:
TRACER: Signature-based Static Analysis for Detecting Recurring Vulnerabilities. CCS 2022: 1695-1708 - [c12]Hyunsu Kim, Mukund Raghothaman, Kihong Heo:
Learning Probabilistic Models for Static Analysis Alarms. ICSE 2022: 1282-1293 - 2021
- [c11]Tianyi Chen, Kihong Heo, Mukund Raghothaman:
Boosting static analysis accuracy with instrumented test executions. ESEC/SIGSOFT FSE 2021: 1154-1165
2010 – 2019
- 2019
- [c10]Kihong Heo, Hakjoo Oh, Hongseok Yang:
Resource-aware program analysis via online abstraction coarsening. ICSE 2019: 94-104 - [c9]Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik:
Synthesizing Datalog Programs using Numerical Relaxation. IJCAI 2019: 6117-6124 - [c8]Kihong Heo, Mukund Raghothaman, Xujie Si, Mayur Naik:
Continuously reasoning about programs using differential Bayesian inference. PLDI 2019: 561-575 - [i2]Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik:
Synthesizing Datalog Programs Using Numerical Relaxation. CoRR abs/1906.00163 (2019) - 2018
- [j9]Kihong Heo, Hakjoo Oh, Hongseok Yang:
Learning analysis strategies for octagon and context sensitivity from labeled data generated by static analyses. Formal Methods Syst. Des. 53(2): 189-220 (2018) - [j8]Kihong Heo, Hakjoo Oh, Hongseok Yang, Kwangkeun Yi:
Adaptive Static Analysis via Learning with Bayesian Optimization. ACM Trans. Program. Lang. Syst. 40(4): 14:1-14:37 (2018) - [c7]Kihong Heo, Woosuk Lee, Pardis Pashakhanloo, Mayur Naik:
Effective Program Debloating via Reinforcement Learning. CCS 2018: 380-394 - [c6]Woosuk Lee, Kihong Heo, Rajeev Alur, Mayur Naik:
Accelerating search-based program synthesis using learned probabilistic models. PLDI 2018: 436-449 - [c5]Mukund Raghothaman, Sulekha Kulkarni, Kihong Heo, Mayur Naik:
User-guided program reasoning using Bayesian inference. PLDI 2018: 722-735 - 2017
- [j7]Kwonsoo Chae, Hakjoo Oh, Kihong Heo, Hongseok Yang:
Automatically generating features for learning program analysis heuristics for C-like languages. Proc. ACM Program. Lang. 1(OOPSLA): 101:1-101:25 (2017) - [j6]Kihong Heo, Hakjoo Oh, Kwangkeun Yi:
Selective conjunction of context-sensitivity and octagon domain toward scalable and precise global static analysis. Softw. Pract. Exp. 47(11): 1677-1705 (2017) - [j5]Woosuk Lee, Wonchan Lee, Dongok Kang, Kihong Heo, Hakjoo Oh, Kwangkeun Yi:
Sound Non-Statistical Clustering of Static Analysis Alarms. ACM Trans. Program. Lang. Syst. 39(4): 16:1-16:35 (2017) - [c4]Kihong Heo, Hakjoo Oh, Kwangkeun Yi:
Machine-learning-guided selectively unsound static analysis. ICSE 2017: 519-529 - 2016
- [j4]Sol Kim, Kihong Heo, Hakjoo Oh, Kwangkeun Yi:
Widening with thresholds via binary search. Softw. Pract. Exp. 46(10): 1317-1328 (2016) - [j3]Hakjoo Oh, Wonchan Lee, Kihong Heo, Hongseok Yang, Kwangkeun Yi:
Selective X-Sensitive Analysis Guided by Impact Pre-Analysis. ACM Trans. Program. Lang. Syst. 38(2): 6:1-6:45 (2016) - [c3]Kihong Heo, Hakjoo Oh, Hongseok Yang:
Learning a Variable-Clustering Strategy for Octagon from Labeled Data Generated by a Static Analysis. SAS 2016: 237-256 - [i1]Kwonsoo Chae, Hakjoo Oh, Kihong Heo, Hongseok Yang:
Automatically generating features for learning program analysis heuristics. CoRR abs/1612.09394 (2016) - 2014
- [j2]Yoonseok Ko, Kihong Heo, Hakjoo Oh:
A sparse evaluation technique for detailed semantic analyses. Comput. Lang. Syst. Struct. 40(3-4): 99-111 (2014) - [j1]Hakjoo Oh, Kihong Heo, Wonchan Lee, Woosuk Lee, Daejun Park, Jeehoon Kang, Kwangkeun Yi:
Global Sparse Analysis Framework. ACM Trans. Program. Lang. Syst. 36(3): 8:1-8:44 (2014) - [c2]Hakjoo Oh, Wonchan Lee, Kihong Heo, Hongseok Yang, Kwangkeun Yi:
Selective context-sensitivity guided by impact pre-analysis. PLDI 2014: 475-484 - 2012
- [c1]Hakjoo Oh, Kihong Heo, Wonchan Lee, Woosuk Lee, Kwangkeun Yi:
Design and implementation of sparse global analyses for C-like languages. PLDI 2012: 229-238
Coauthor Index
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