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415 Publications
2024 | Published | Conference Paper | IST-REx-ID: 17634 | 
Chalupa, M., Henzinger, T. A., Mazzocchi, N. A., & Sarac, N. E. (2024). QuAK: Quantitative Automata Kit. In 12th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (Vol. 15222, pp. 3–20). Crete, Greece: Springer Nature. https://doi.org/10.1007/978-3-031-75387-9_1
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2023 | Published | Conference Paper | IST-REx-ID: 13141 |
Anand, A., Mallik, K., Nayak, S. P., & Schmuck, A. K. (2023). Computing adequately permissive assumptions for synthesis. In TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13994, pp. 211–228). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30820-8_15
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2023 | Published | Conference Paper | IST-REx-ID: 13228 |
Henzinger, T. A., Karimi, M., Kueffner, K., & Mallik, K. (2023). Runtime monitoring of dynamic fairness properties. In FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 604–614). Chicago, IL, United States: Association for Computing Machinery. https://doi.org/10.1145/3593013.3594028
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 13310 |
Henzinger, T. A., Karimi, M., Kueffner, K., & Mallik, K. (2023). Monitoring algorithmic fairness. In Computer Aided Verification (Vol. 13965, pp. 358–382). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37703-7_17
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14454 |
Henzinger, T. A., Kueffner, K., & Mallik, K. (2023). Monitoring algorithmic fairness under partial observations. In 23rd International Conference on Runtime Verification (Vol. 14245, pp. 291–311). Thessaloniki, Greece: Springer Nature. https://doi.org/10.1007/978-3-031-44267-4_15
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2023 | Published | Conference Paper | IST-REx-ID: 12467 |
Henzinger, T. A., Mazzocchi, N. A., & Sarac, N. E. (2023). Quantitative safety and liveness. In 26th International Conference Foundations of Software Science and Computation Structures (Vol. 13992, pp. 349–370). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30829-1_17
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2023 | Published | Conference Paper | IST-REx-ID: 12854 |
Chalupa, M., & Henzinger, T. A. (2023). Bubaak: Runtime monitoring of program verifiers. In Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13994, pp. 535–540). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30820-8_32
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2023 | Published | Conference Paper | IST-REx-ID: 14758 |
Majumdar, R., Mallik, K., Rychlicki, M., Schmuck, A.-K., & Soudjani, S. (2023). A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties. In 35th International Conference on Computer Aided Verification (Vol. 13966, pp. 3–15). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37709-9_1
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2023 | Published | Journal Article | IST-REx-ID: 14920 |
Banerjee, T., Majumdar, R., Mallik, K., Schmuck, A.-K., & Soudjani, S. (2023). Fast symbolic algorithms for mega-regular games under strong transition fairness. TheoretiCS. EPI Sciences. https://doi.org/10.46298/theoretics.23.4
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2023 | Research Data Reference | IST-REx-ID: 14994 |
Majumdar, R., Mallik, K., Rychlicki, M., Schmuck, A.-K., & Soudjani, S. (2023). A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties. Zenodo. https://doi.org/10.5281/ZENODO.7877790
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2023 | Published | Conference Paper | IST-REx-ID: 14076 |
Chalupa, M., & Henzinger, T. A. (2023). Monitoring hyperproperties with prefix transducers. In 23nd International Conference on Runtime Verification (Vol. 14245, pp. 168–190). Thessaloniki, Greek: Springer Nature. https://doi.org/10.1007/978-3-031-44267-4_9
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2023 | Research Data Reference | IST-REx-ID: 15035 |
Chalupa, M., & Henzinger, T. A. (2023). Monitoring hyperproperties with prefix transducers. Zenodo. https://doi.org/10.5281/ZENODO.8191723
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2023 | Published | Conference Paper | IST-REx-ID: 12856 |
Chalupa, M., Mühlböck, F., Muroya Lei, S., & Henzinger, T. A. (2023). Vamos: Middleware for best-effort third-party monitoring. In Fundamental Approaches to Software Engineering (Vol. 13991, pp. 260–281). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30826-0_15
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2023 | Published | Technical Report | IST-REx-ID: 12407 |
Chalupa, M., Mühlböck, F., Muroya Lei, S., & Henzinger, T. A. (2023). VAMOS: Middleware for Best-Effort Third-Party Monitoring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12407
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2023 | Published | Journal Article | IST-REx-ID: 12704 |
Lechner, M., Amini, A., Rus, D., & Henzinger, T. A. (2023). Revisiting the adversarial robustness-accuracy tradeoff in robot learning. IEEE Robotics and Automation Letters. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LRA.2023.3240930
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 15023 |
Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., & Henzinger, T. A. (2023). Compositional policy learning in stochastic control systems with formal guarantees. In 37th Conference on Neural Information Processing Systems. New Orleans, LO, United States.
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2023 | Published | Conference Paper | IST-REx-ID: 13142 |
Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). A learner-verifier framework for neural network controllers and certificates of stochastic systems. In Tools and Algorithms for the Construction and Analysis of Systems (Vol. 13993, pp. 3–25). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30823-9_1
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2023 | Published | Conference Paper | IST-REx-ID: 14242 |
Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., & Rus, D. (2023). Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 14964–14973). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i12.26747
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14559 |
Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). Learning provably stabilizing neural controllers for discrete-time stochastic systems. In 21st International Symposium on Automated Technology for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore: Springer Nature. https://doi.org/10.1007/978-3-031-45329-8_17
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14518 |
Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., & Zikelic, D. (2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS Press. https://doi.org/10.3233/FAIA230264
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