Fairness shields: Safeguarding against biased decision makers
F. Cano Cordoba, T.A. Henzinger, B. Könighofer, K. Kueffner, K. Mallik, in:, Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, pp. 15659–15668.

Monitoring robustness and individual fairness
A. Gupta, T.A. Henzinger, K. Kueffner, K. Mallik, D. Pape, in:, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, 2025, pp. 790–801.

Abstraction-based decision making for statistical properties
F. Cano, T.A. Henzinger, B. Könighofer, K. Kueffner, K. Mallik, in:, 9th International Conference on Formal Structures for Computation and Deduction, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.

Runtime monitoring of dynamic fairness properties
T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 2023, pp. 604–614.

Monitoring algorithmic fairness under partial observations
T.A. Henzinger, K. Kueffner, K. Mallik, in:, 23rd International Conference on Runtime Verification, Springer Nature, 2023, pp. 291–311.

Into the unknown: Active monitoring of neural networks (extended version)
K. Kueffner, A. Lukina, C. Schilling, T.A. Henzinger, International Journal on Software Tools for Technology Transfer 25 (2023) 575–592.

Monitoring algorithmic fairness
T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, Computer Aided Verification, Springer Nature, 2023, pp. 358–382.