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Eunsuk Kang

13 papers hereh-index 221.7k citations86 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author9
  • last author3

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.SE7
  • eess.SY3
  • cs.AI1
  • cs.DB1
  • cs.LG1
same name
  • Eunsuk Kang — 9 papers, h 3
  • Eunsuk Kang — 7 papers, h 3
  • Eunsuk Kang — 5 papers, h 4
  • Eunsuk Kang — 1 paper
  • Eunsuk Kang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedRuntime Resolution of Feature Interactions through Adaptive Requirement Weakening

6 citations · 15 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.SE2021

A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems

Mingyue Zhang, Nianyu Li, Sridhar Adepu +2

The increasing prevalence of security attacks on software-intensive systems calls for new, effective methods for detecting and responding to these attacks. As one promising approac…

eess.SY2021★ 2 cited

On tolerance of discrete systems with respect to transition perturbations

Rômulo Meira-Góes, Eunsuk Kang, Stéphane Lafortune +1

Control systems should enforce a desired property for both expected modeled situations as well as unexpected unmodeled environmental situations. Existing methods focus on designing…

cs.SE2021

Counterexample Classification

Cole Vick, Eunsuk Kang, Stavros Tripakis

In model checking, when a given model fails to satisfy the desired specification, a typical model checker provides a counterexample that illustrates how the violation occurs. In ge…

cs.SE2021★ 1 cited

Feature Interactions on Steroids: On the Composition of ML Models

Christian Kästner, Eunsuk Kang, Sven Apel

The lack of specifications is a key difference between traditional software engineering and machine learning. We discuss how it drastically impacts how we think about divide-and-co…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.