Kihong Heo

Orcid: 0000-0003-2671-0142

According to our database1, Kihong Heo authored at least 25 papers between 2012 and 2023.

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Bibliography

2023
DAFL: Directed Grey-box Fuzzing guided by Data Dependency.
Proceedings of the 32nd USENIX Security Symposium, 2023

2022
Learning Probabilistic Models for Static Analysis Alarms.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

TRACER: Signature-based Static Analysis for Detecting Recurring Vulnerabilities.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

PacJam: Securing Dependencies Continuously via Package-Oriented Debloating.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021
Boosting static analysis accuracy with instrumented test executions.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2019
Continuously reasoning about programs using differential Bayesian inference.
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

Synthesizing Datalog Programs using Numerical Relaxation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Resource-aware program analysis via online abstraction coarsening.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
Adaptive Static Analysis via Learning with Bayesian Optimization.
ACM Trans. Program. Lang. Syst., 2018

Learning analysis strategies for octagon and context sensitivity from labeled data generated by static analyses.
Formal Methods Syst. Des., 2018

User-guided program reasoning using Bayesian inference.
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Accelerating search-based program synthesis using learned probabilistic models.
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Effective Program Debloating via Reinforcement Learning.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
Sound Non-Statistical Clustering of Static Analysis Alarms.
ACM Trans. Program. Lang. Syst., 2017

Selective conjunction of context-sensitivity and octagon domain toward scalable and precise global static analysis.
Softw. Pract. Exp., 2017

Automatically generating features for learning program analysis heuristics for C-like languages.
Proc. ACM Program. Lang., 2017

Machine-learning-guided selectively unsound static analysis.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
Selective X-Sensitive Analysis Guided by Impact Pre-Analysis.
ACM Trans. Program. Lang. Syst., 2016

Widening with thresholds via binary search.
Softw. Pract. Exp., 2016

Automatically generating features for learning program analysis heuristics.
CoRR, 2016

Learning a Variable-Clustering Strategy for Octagon from Labeled Data Generated by a Static Analysis.
Proceedings of the Static Analysis - 23rd International Symposium, 2016

2014
Global Sparse Analysis Framework.
ACM Trans. Program. Lang. Syst., 2014

A sparse evaluation technique for detailed semantic analyses.
Comput. Lang. Syst. Struct., 2014

Selective context-sensitivity guided by impact pre-analysis.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

2012
Design and implementation of sparse global analyses for C-like languages.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2012


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