Publications

Improving Fault Localization with External Oracle by using Counterfactual Execution
Jongchan Park, Tae Eun Kim, Dongsun Kim, and Kihong Heo
TOSEM: ACM Transactions on Software Engineering and Methodology, 2024
[paper]
Evaluating Directed Fuzzers: Are We Heading in the Right Direction?
Tae Eun Kim, Jaeseung Choi, Seongjae Im, Kihong Heo, and Sang Kil Cha
FSE 2024: International Conference on the Foundations of Software Engineering, 2024
[paper] [slides]
Translation Validation for JIT Compiler in the V8 JavaScript Engine
Seungwan Kwon, Jaeseong Kwon, Wooseok Kang, Juneyoung Lee, and Kihong Heo
ICSE 2024: International Conference on Software Engineering, 2024
[paper] [slides]

DAFL: Directed Grey-box Fuzzing Guided by Data Dependency
Tae Eun Kim, Jaeseung Choi, Kihong Heo, and Sang Kil Cha
Security 2023: USENIX Security Symposium, 2023
[paper] [slides]

Tracer: Signature-based Static Analysis for Detecting Recurring Vulnerabilities
Wooseok Kang, Byoungho Son, and Kihong Heo
CCS 2022: ACM Conference on Computer and Communications Security, 2022
[paper] [slides]
Learning Probabilistic Models for Static Analysis Alarms
Hyunsu Kim, Mukund Raghothaman, and Kihong Heo
🏆 Best Artifact Award
ICSE 2022: International Conference on Software Engineering, 2022
[paper]
PacJam: Securing Dependencies Continuously via Package-Oriented Debloating
Pardis Pashakhanloo, Aravind Machiry, Hyonyoung Choi, Anthony Canino, Kihong Heo, Insup Lee, and Mayur Naik
ASIACCS 2022: ACM ASIA Conference on Computer and Communications Security, 2022
[paper]

Synthesizing Datalog Programs using Numerical Relaxation
Xujie Si, Mukund Raghothaman, Kihong Heo, and Mayur Naik
IJCAI 2019: International Joint Conferences on Artificial Intelligence, 2019
[paper]
Continuously Reasoning about Programs via Differential Bayesian Inference
Kihong Heo, Mukund Raghothaman, Xujie Si, and Mayur Naik
🏆 Distinguished Paper Award
PLDI 2019: Programming Language Design and Implementation, 2019
[paper]
Resource-aware Program Analysis via Online Abstraction Coarsening
Kihong Heo, Hakjoo Oh, and Hongseok Yang
🏆 Distinguished Paper Award
ICSE 2019: ACM/IEEE International Conference on Software Engineering, 2019
[paper] [slides]

Effective Program Debloating via Reinforcement Learning
Kihong Heo, Woosuk Lee, Pardis Pashakhanloo, and Mayur Naik
CCS 2018: ACM Conference on Computer and Communications Security, 2018
[paper] [slides]
User-Guided Program Reasoning using Bayesian Inference
Mukund Raghothaman, Sulekha Kulkarni, Kihong Heo, and Mayur Naik
PLDI 2018: Programming Language Design and Implementation, 2018
[paper] [full-version]
Accelerating Search-Based Program Synthesis Using Learned Probabilistic Models
Woosuk Lee, Kihong Heo, Rajeev Alur, and Mayur Naik
PLDI 2018: Programming Language Design and Implementation, 2018
[paper]
Difflog: Beyond Deductive Methods in Program Analysis
Mukund Raghothaman, Sulekha Kulkarni, Richard Zhang, Xujie Si, Kihong Heo, Woosuk Lee, and Mayur Naik
ML4P: 1st Workshop on Machine Learning for Programming, 2018
[paper]
Learning Analysis Strategies for Octagon and Context Sensitivity from Labeled Data Generated by Static Analyses
Kihong Heo, Hakjoo Oh, and Hongseok Yang
Invited Paper
FMSD: Formal Methods in System Design, 2018
[paper]
Adapting Static Analysis via Learning with Bayesian Optimization
Kihong Heo, Hakjoo Oh, Hongseok Yang, and Kwangkeun Yi
TOPLAS: ACM Transactions on Programming Languages and Systems, 2018
[paper]

Machine-Learning-Guided Selectively Unsound Static Analysis
Kihong Heo, Hakjoo Oh, and Kwangkeun Yi
ICSE 2017: The 39th International Conference on Software Engineering, 2017
[paper] [slides]
Automatically Generating Features for Learning Program Analysis Heuristics for C-Like Languages
Kwonsoo Chae, Hakjoo Oh, Kihong Heo, and Hongseok Yang
OOPSLA 2017: ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications, 2017
[paper]
Selective Conjunction of Context-sensitivity and Octagon Domain toward Scalable and Precise Global Static Analysis
Kihong Heo, Hakjoo Oh, and Kwangkeun Yi
SP&E: Software-Practice and Experience, 2017
[paper]
Sound Non-Statistical Clustering of Static Analysis Alarms
Woosuk Lee, Wonchan Lee, Dongok Kang, Kihong Heo, Hakjoo Oh, and Kwangkeun Yi
TOPLAS: ACM Transactions on Programming Languages and Systems, 2017
[paper]

Learning a Variable-Clustering Strategy for Octagon from Labeled Data Generated by a Static Analysis
Kihong Heo, Hakjoo Oh, and Hongseok Yang
SAS 2016: The 23rd Static Analysis Symposium, 2016
[paper] [slides]
Selective X-Sensitive Analysis Guided by Impact Pre-Analysis
Hakjoo Oh, Wonchan Lee, Kihong Heo, Hongseok Yang, and Kwangkeun Yi
TOPLAS: ACM Transactions on Programming Languages and Systems, 2016
[paper]
Widening with Thresholds via Binary Search
Sol Kim, Kihong Heo, Hakjoo Oh, and Kwangkeun Yi
SP&E: Software-Practice and Experience, 2016
[paper]

Selective Context-Sensitivity Guided by Impact Pre-Analysis
Hakjoo Oh, Wonchan Lee, Kihong Heo, Hongseok Yang, and Kwangkeun Yi
PLDI 2014: The 35th ACM SIGPLAN Conference of Programming Language Design and Implementation, 2014
[paper] [full-version]
Global Sparse Analysis Framework
Hakjoo Oh, Kihong Heo, Wonchan Lee, Woosuk Lee, Daejun Park, Jeehoon Kang, and Kwangkeun Yi
TOPLAS: ACM Transactions on Programming Languages and Systems, 2014
[paper]
A Sparse Evaluation Technique for Detailed Semantic Analyses
Yoonseok Ko, Kihong Heo, and Hakjoo Oh
Computer Languages, Systems, & Structures, 2014
[paper]

Design and Implementation of Sparse Global Analyses for C-like Languages
Hakjoo Oh, Kihong Heo, Wonchan Lee, Woosuk Lee, and Kwangkeun Yi
PLDI 2012: The 33rd ACM SIGPLAN Conference of Programming Language Design and Implementation, 2012
[paper]