Konstantin Kueffner
Graduate School
Henzinger_Thomas Group
4 Publications
2023 | Conference Paper | IST-REx-ID: 13310 | 
Henzinger, Thomas A., et al. “Monitoring Algorithmic Fairness.” Computer Aided Verification, vol. 13965, Springer Nature, 2023, pp. 358–382, doi:10.1007/978-3-031-37703-7_17.
[Published Version]
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| arXiv
2023 | Conference Paper | IST-REx-ID: 14454 |
Henzinger, Thomas A., et al. “Monitoring Algorithmic Fairness under Partial Observations.” 23rd International Conference on Runtime Verification, vol. 14245, Springer Nature, 2023, pp. 291–311, doi:10.1007/978-3-031-44267-4_15.
[Preprint]
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| DOI
| Download Preprint (ext.)
| arXiv
2023 | Journal Article | IST-REx-ID: 13234 |
Kueffner, Konstantin, et al. “Into the Unknown: Active Monitoring of Neural Networks (Extended Version).” International Journal on Software Tools for Technology Transfer, vol. 25, Springer Nature, 2023, pp. 575–92, doi:10.1007/s10009-023-00711-4.
[Published Version]
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| Files available
| DOI
| WoS
| arXiv
2023 | Conference Paper | IST-REx-ID: 13228 |
Henzinger, Thomas A., et al. “Runtime Monitoring of Dynamic Fairness Properties.” FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 2023, pp. 604–14, doi:10.1145/3593013.3594028.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
4 Publications
2023 | Conference Paper | IST-REx-ID: 13310 |
Henzinger, Thomas A., et al. “Monitoring Algorithmic Fairness.” Computer Aided Verification, vol. 13965, Springer Nature, 2023, pp. 358–382, doi:10.1007/978-3-031-37703-7_17.
[Published Version]
View
| Files available
| DOI
| arXiv
2023 | Conference Paper | IST-REx-ID: 14454 |
Henzinger, Thomas A., et al. “Monitoring Algorithmic Fairness under Partial Observations.” 23rd International Conference on Runtime Verification, vol. 14245, Springer Nature, 2023, pp. 291–311, doi:10.1007/978-3-031-44267-4_15.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2023 | Journal Article | IST-REx-ID: 13234 |
Kueffner, Konstantin, et al. “Into the Unknown: Active Monitoring of Neural Networks (Extended Version).” International Journal on Software Tools for Technology Transfer, vol. 25, Springer Nature, 2023, pp. 575–92, doi:10.1007/s10009-023-00711-4.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2023 | Conference Paper | IST-REx-ID: 13228 |
Henzinger, Thomas A., et al. “Runtime Monitoring of Dynamic Fairness Properties.” FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 2023, pp. 604–14, doi:10.1145/3593013.3594028.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv