Publications of SecInt students

Kofnov, A., Moosbrugger, M., Stankovic, M., Bartocci, E., & Bura, E. (2024). Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments. ACM Transactions on Modeling and Computer Simulation, 34(3), Article 18. https://doi.org/10.1145/3641545 ‒ Full metadata

Indri, P., Blohm, P., Athavale, A., Bartocci, E., Weissenbacher, G., Maffei, M., Nickovic, D., Gärtner, T., & Malhotra, S. (2024). Distillation based Robustness Verification with PAC Guarantees. In Volume 235: International Conference on Machine Learning, 21-27 July 2024, Vienna, Austria. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. ‒ Full metadata

Schoisswohl, J., Kovács, L., & Korovin, K. (2024). VIRAS: Conflict-Driven Quantifier Elimination for Integer-Real Arithmetic. In N. Bjørner, M. Heule, & A. Voronkov (Eds.), Proceedings of 25th Conference on Logic for Programming, Artificial Intelligence and Reasoning (pp. 147–164). https://doi.org/10.29007/kg4v ‒ Full metadata

Georgiou, P., Hajdu, M., & Kovács, L. (2024). Saturating Sorting without Sorts. arXiv. https://doi.org/10.34726/5861 ‒ Full metadata

Andreeva, E., & Weninger, A. (2024). A TPRF-based pseudo-random number generator. Journal of Surveillance, Security and Safety, 5, 36–51. https://doi.org/10.20517/jsss.2023.45 ‒ Full metadata

Eisenhofer, C., Kovács, L., & Rawson, M. (2024). Embedding the Connection Calculus in Satisfiability Modulo Theories. In Proceedings of the 1st International Workshop on Automated Reasoning with Connection Calculi (AReCCa 2023) (pp. 54–63). CEUR-WS.org. https://doi.org/10.34726/5394 ‒ Full metadata

Hozzová, P., Amrollahi, D., Hajdu, M., Kovács, L., Voronkov, A., & Wagner, E. M. (2024). Synthesis of Recursive Programs in Saturation. In Automated Reasoning: 12th International Joint Conference, IJCAR 2024, Nancy, France, July 3–6, 2024, Proceedings, Part I (pp. 154–171). Springer International Publishing. https://doi.org/10.1007/978-3-031-63498-7_10 ‒ Full metadata

Hajdu, M., Kovács, L., Rawson, M., & Voronkov, A. (2024). Reducibility Constraints in Superposition. In Automated Reasoning: 12th International Joint Conference, IJCAR 2024, Nancy, France, July 3–6, 2024, Proceedings, Part I (pp. 115–132). https://doi.org/10.1007/978-3-031-63498-7_8 ‒ Full metadata

Kovács, L., Hozzová, P., Hajdu, M., & Voronkov, A. (2024). Induction in Saturation. In Automated Reasoning: 12th International Joint Conference, IJCAR 2024, Nancy, France, July 3–6, 2024, Proceedings, Part I (pp. 21–29). Springer. https://doi.org/10.1007/978-3-031-63498-7_2 ‒ Full metadata

Saha, A., Blasco Alís, J., & Lindorfer, M. (2024). Exploring the Malicious Document Threat Landscape: Towards a Systematic Approach to Detection and Analysis. In 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (pp. 533–544). https://doi.org/10.1109/EuroSPW61312.2024.00065 ‒ Full metadata

Jeanteur, S., Kovács, L., Maffei, M., & Rawson, M. (2024). CryptoVampire: Automated Reasoning for the Complete Symbolic Attacker Cryptographic Model. In 2024 IEEE Symposium on Security and Privacy (SP) (pp. 3165–3183). IEEE. https://doi.org/10.1109/SP54263.2024.00246 ‒ Full metadata

Saha, A., Blasco, J., Cavallaro, L., & Lindorfer, M. (2024). ADAPT it! Automating APT Campaign and Group Attribution by Leveraging and Linking Heterogeneous Files. In RAID ’24: Proceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses (pp. 114–129). Association for Computing Machinery. https://doi.org/10.1145/3678890.3678909 ‒ Full metadata

Bause, F., Jogl, F., Indri, P., Drucks, T., Penz, D., Kriege, N., Gärtner, T., Welke, P., & Thiessen, M. (2023). Maximally Expressive GNNs for Outerplanar Graphs. In NeurIPS 2023 Workshop: New Frontiers in Graph Learning. NeurIPS 2023 Workshop: New Frontiers in Graph Learning, New Orleans, LA, United States of America (the). OpenReview.net. https://doi.org/10.34726/5433 ‒ Full metadata

Bause, F., Jogl, F., Indri, P., Drucks, T., Penz, D., Kriege, N., Gärtner, T., Welke, P., & Thiessen, M. (2023, December 1). Maximally Expressive GNNs for Outerplanar Graphs [Poster Presentation]. Learning-on-Graphs Conference 2023: Local Meetup, München, Germany. https://doi.org/10.34726/5344 ‒ Full metadata

Sober, M., Scaffino, G., Schulte, S., & Kanhere, S. S. (2023). A blockchain-based IoT data marketplace. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 26(6), 3523–3545. https://doi.org/10.1007/s10586-022-03745-6 ‒ Full metadata

Brugger, L. S., Kovács, L., Petkovic Komel, A., Rain, S., & Rawson, M. (2023). CheckMate: Automated Game-Theoretic Security Reasoning. In CCS ’23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (pp. 1407–1421). Association for Computing Machinery. https://doi.org/10.1145/3576915.3623183 ‒ Full metadata

Landman, M., Rain, S., Kovács, L., & Gerald Futschek. (2023). Reshaping Unplugged Computer Science Workshops for Primary School Education. In J.-P. Pellet & G. Parriaux (Eds.), Informatics in Schools. Beyond Bits and Bytes: Nurturing Informatics Intelligence in Education : 16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Lausanne, Switzerland, October 23–25, 2023, Proceedings (pp. 139–151). Springer. https://doi.org/10.1007/978-3-031-44900-0_11 ‒ Full metadata

Aguilar, E. A., Bartocci, E., Mateis, C., Nesterini, E., & Nickovic, D. (2023). Mining Specification Parameters for Multi-class Classification. In P. Katsaros & L. Nenzi (Eds.), Runtime Verification : 23rd International Conference, RV 2023, Thessaloniki, Greece, October 3–6, 2023, Proceedings (pp. 86–105). Springer. https://doi.org/10.1007/978-3-031-44267-4_5 ‒ Full metadata

Eisenhofer, C., Alassaf, R., Rawson, M., & Kovács, L. (2023). Non-Classical Logics in Satisfiability Modulo Theories. In D. R. S. Ramanayake & J. Urban (Eds.), Automated Reasoning with Analytic Tableaux and Related Methods: 32nd International Conference, TABLEAUX 2023, Prague, Czech Republic, September 18–21, 2023, Proceedings (pp. 24–36). Springer. https://doi.org/10.1007/978-3-031-43513-3_2 ‒ Full metadata

Bhayat, A., Schoisswohl, J., & Rawson, M. (2023). Superposition with Delayed Unification. In B. Pientka & C. Tinelli (Eds.), Automated Deduction – CADE 29 29th International Conference on Automated Deduction, Rome, Italy, July 1–4, 2023, Proceedings (pp. 23–40). Springer. https://doi.org/10.1007/978-3-031-38499-8_2 ‒ Full metadata

Bartocci, E., Mateis, C., Nesterini, E., & Nickovic, D. (2023). Mining Hyperproperties using Temporal Logics. ACM Transactions on Embedded Computing Systems, 22(5s), 1–26. https://doi.org/10.1145/3609394 ‒ Full metadata

Scaffino, G., Aumayr, L., Avarikioti, G., & Maffei, M. (2023). Glimpse: On-Demand PoW Light Client with Constant-Size Storage for DeFi. In Proceedings of the 32nd USENIX Security Symposium (pp. 733–750). ‒ Full metadata

Jungwirth, G., Saha, A., Schröder, M., Fiebig, T., Lindorfer, M., & Cito, J. (2023). Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps. In IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) (pp. 322–333). https://doi.org/10.1109/MSR59073.2023.00051 ‒ Full metadata

Sober, M., Max Kobelt, Scaffino, G., Kaaser, D., & Schulte, S. (2023). Distributed Key Generation with Smart Contracts using zk-SNARKs. In SAC ’23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (pp. 231–240). Association for Computing Machinery. https://doi.org/10.34726/4523 ‒ Full metadata

Bhayat, A., Korovin, K., Kovács, L., & Schoisswohl, J. (2023). Refining Unification with Abstraction. In R. Piskac & A. Voronkov (Eds.), Proceedings of 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (pp. 36–47). EasyChair EPiC. https://doi.org/10.29007/h65j ‒ Full metadata

Hader, T., Kaufmann, D., & Kovacs, L. (2023). SMT Solving over Finite Field Arithmetic. In R. Piscac & A. Voronkov (Eds.), Proceedings of 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (pp. 238–256). https://doi.org/10.29007/4n6w ‒ Full metadata

Patrick Indri, Tamara Drucks, & Gärtner, T. (2023). Can stochastic weight averaging improve generalization in private learning? In ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models. ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models, Kigali, Rwanda. https://doi.org/10.34726/5349 ‒ Full metadata

Bjørner, N., Eisenhofer, C., & Kovács, L. (2023). Satisfiability Modulo Custom Theories in Z3. In C. Dragoi, M. Emmi, & J. Wang (Eds.), Verification, Model Checking, and Abstract Interpretation. VMCAI 2023 (pp. 91–105). Springer. https://doi.org/10.1007/978-3-031-24950-1_5 ‒ Full metadata

Rain, S., Avarikioti, G., Kovacs, L., & Maffei, M. (2023). Towards a Game-Theoretic Security Analysis of Off-Chain Protocols. In 2023 IEEE 36th Computer Security Foundations Symposium (CSF) (pp. 107–122). IEEE. https://doi.org/10.1109/CSF57540.2023.00003 ‒ Full metadata

Korovin, K., Kovács, L., Reger, G., Schoisswohl, J., & Voronkov, A. (2023). ALASCA: Reasoning in Quantified Linear Arithmetic. In S. Sankaranarayanan & N. Sharygina (Eds.), Tools and Algorithms for the Construction and Analysis of Systems (pp. 647–665). Springer. https://doi.org/10.1007/978-3-031-30823-9_33 ‒ Full metadata

Andreeva, E., & Weninger, A. (2023). A Forkcipher-Based Pseudo-Random Number Generator. In M. Tibouchi & X. Wang (Eds.), Applied Cryptography and Network Security (pp. 3–31). https://doi.org/10.1007/978-3-031-33491-7_1 ‒ Full metadata

Hajdu, M., Hozzová, P., Kovács, L., Reger, G., & Voronkov, A. (2022). Getting Saturated with Induction. In J.-F. Raskin, K. Chatterjee, L. Doyen, & R. Majumdar (Eds.), Principles of Systems Design (Vol. 13660, pp. 306–322). Springer Cham. https://doi.org/10.1007/978-3-031-22337-2_15 ‒ Full metadata

Aftab, A., Chrysostomou, C., Qureshi, H. K., & Rehman, S. (2022). Holo-Block Chain: A Hybrid Approach for Secured IoT Healthcare Ecosystem. In 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 243–250). https://doi.org/10.1109/WiMob55322.2022.9941553 ‒ Full metadata

Bartocci, E., Mateis, C., Nesterini, E., & Nickovic, D. (2022). Survey on mining signal temporal logic specifications. Information and Computation, 289(Part A), Article 104957. https://doi.org/10.1016/j.ic.2022.104957 ‒ Full metadata

Eisenhofer, C. (2022, September 14). User-Propagation for Custom Theories in SMT Solving [Presentation]. 14th Alpine Verification Meeting, Frauenchiemsee, Germany. http://hdl.handle.net/20.500.12708/154343 ‒ Full metadata

Hajdu, M., Kovács, L., Rawson, M., & Voronkov, A. (2022). The Vampire Approach to Induction (short paper). In B. Konev, C. Schon, & A. Steen (Eds.), PAAR 2022. Practical Aspects of Automated Reasoning 2022. Proceedings of the Workshop on Practical Aspects of Automated Reasoning. https://doi.org/10.34726/4103 ‒ Full metadata

Bjorner, N., Eisenhofer, C., & Kovács, L. (2022). User-Propagation for Custom Theories in SMT Solving. In D. Deharbe & A. Hyvärinen (Eds.), Satisfiability Modulo Theories. 20th International Workshop. SMT 2022. Proceedings (pp. 71–79). CEUR-WS.org. https://doi.org/10.34726/4104 ‒ Full metadata

Brugger, L. S., Kovacs, L., Petkovic Komel, A., Rain, S., & Rawson, M. (2022, August 11). Automating Security Analysis of Off-Chain Protocols [Conference Presentation]. 4th International Workshop on Formal Methods for Blockchains, Haifa, Israel. https://doi.org/10.34726/3523 ‒ Full metadata

Hader, T., & Kovacs, L. (2022). An SMT Approach for Solving Polynomials over Finite Fields. In Proceedings of the 20th Internal Workshop on Satisfiability Modulo Theories (SMT) (pp. 90–98). ‒ Full metadata

Eisenhofer, C., & Riener, M. (2022). Automated Instantiation of Control Flow Tracing Exercises. In J. Marcos, W. Neuper, & P. Quaresma (Eds.), Proceedings 10th International Workshop on Theorem Proving Components for Educational Software (pp. 43–58). EPTCS. https://doi.org/10.4204/EPTCS.354.4 ‒ Full metadata

Eisenhofer, C. (2022). User propagators for satisfiability modulo custom theories [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.100221 ‒ Full metadata

Indri, P., Bartoli, A., Medvet, E., & Nenzi, L. (2022). One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems. In EuroGP 2022: Genetic Programming (pp. 34–50). Springer-Verlag. https://doi.org/10.1007/978-3-031-02056-8_3 ‒ Full metadata

Hader, T. (2022). Non-linear SMT-reasoning over finite fields [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.89445 ‒ Full metadata

Kofnov, A., Moosbrugger, M., Stankovič, M., Bartocci, E., & Bura, E. (2022). Moment-Based Invariants for Probabilistic Loops with Non-polynomial Assignments. In E. Ábrahám & M. Paolieri (Eds.), Quantitative Evaluation of Systems (pp. 3–25). Springer. https://doi.org/10.1007/978-3-031-16336-4_1 ‒ Full metadata

Bhayat, A., Georgiou, P., Eisenhofer, C., Kovács, L., & Reger, G. (2022). Lemmaless Induction in Trace Logic. In K. Buzzard & T. Kutsia (Eds.), Intelligent Computer Mathematics : 15th International Conference, CICM 2022, Tbilisi, Georgia, September 19–23, 2022, Proceedings (pp. 191–208). https://doi.org/10.34726/5860 ‒ Full metadata

Hajdu, M., Hozzová, P., Kovács, L., & Voronkov, A. (2021). Induction with Recursive Definitions in Superposition. In Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design – FMCAD 2021 (Vol. 2, pp. 246–255). TU Wien Academic Press. https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_34 ‒ Full metadata

Hajdu, M., Hozzová, P., Kovács, L., Schoisswohl, J., & Voronkov, A. (2021). Inductive Benchmarks for Automated Reasoning. In Intelligent Computer Mathematics. 14th International Conference, CICM 2021, Timisoara, Romania, July 26–31, 2021. Proceedings (pp. 124–129). Springer. https://doi.org/10.34726/1563 ‒ Full metadata

Elad, N., Rain, S., Immerman, N., Sagiv, M., & Kovacs, L. (2021). Summing up Smart Transitions. In A. Silva & R. Leino (Eds.), Computer Aided Verification (pp. 317–340). Springer LNCS. https://doi.org/10.1007/978-3-030-81685-8_15 ‒ Full metadata

Bartocci, E., Deshmukh, J., Mateis, C., Nesterini, E., Ničković, D., & Qin, X. (2021). Mining Shape Expressions with ShapeIt. In Software Engineering and Formal Methods (pp. 110–117). 13085. https://doi.org/10.1007/978-3-030-92124-8_7 ‒ Full metadata

Geiginger, L.-M. (2021). Classification of encrypted QUIC network traffic [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.91661 ‒ Full metadata

Schoisswohl, J., & Kovács, L. (2021). Automating Induction by Reflection. In E. Pimentel & E. Tassi (Eds.), Electronic Proceedings in Theoretical Computer Science (pp. 39–54). EPTCS. https://doi.org/10.4204/eptcs.337.4 ‒ Full metadata

De Coster, A., Musliu, N., Schaerf, A., Schoisswohl, J., & Smith-Miles, K. (2021). Algorithm selection and instance space analysis for curriculum-based course timetabling. Journal of Scheduling, 25(1), 35–58. https://doi.org/10.1007/s10951-021-00701-x ‒ Full metadata

Hajdú, M., Hozzová, P., Kovács, L., Schoisswohl, J., & Voronkov, A. (2020). Induction with Generalization in Superposition Reasoning. In Proceedings of the 13th International Conference on Intelligent Computer Mathematics (CICM) (pp. 123–137). Springer. https://doi.org/10.34726/961 ‒ Full metadata

Saha, A., Denning, T., Srikumar, V., & Kasera, S. K. (2020). Secrets in Source Code: Reducing False Positives using Machine Learning. In 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS). IEEE Xplore Digital Library. https://doi.org/10.1109/comsnets48256.2020.9027350 ‒ Full metadata

Weninger, A. J. (2020). Privacy preserving authenticated Kkey exchange : Modelling, constructions, proofs and formal verification : Modellierung, Konstruktionen, Beweise und Verification [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.87263 ‒ Full metadata

Rain, S. (2020). First-order reasoning with aggregates [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.74620 ‒ Full metadata

Hajdu, M. (2020). Automating inductive reasoning with recursive functions [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.84140 ‒ Full metadata

Schoisswohl, J. (2020). Automated induction by reflection [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.75342 ‒ Full metadata

Prahm, C., Schulz, A., Paaßen, B., Schoisswohl, J., Kaniusas, E., Dorffner, G., Hammer, B., & Aszmann, O. (2019). Counteracting electrode shifts in upper-limb prosthesis control via transfer learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(5), 956–962. https://doi.org/10.1109/tnsre.2019.2907200 ‒ Full metadata

Kitzler, S. (2018). Reliability in power electronics for electric energy converters [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.54661 ‒ Full metadata

Kitzler, S., & Stefan, M. (2018). Realtime-substitution mechanisms for missing field measurements - Field-approved methods and evaluation results. In Proc. CIRED Workshop 2018 on Microgrids and Local Energy Communities, Congrès International des Réseaux Electriques de Distribution (pp. 03511–03514). CIRED Workshop. http://hdl.handle.net/20.500.12708/44964 ‒ Full metadata