Removing popular faces in curve arrangements
P. De Nooijer, S. Terziadis, A. Weinberger, Z. Masárová, T. Mchedlidze, M. Löffler, G. Rote, in:, 31st International Symposium on Graph Drawing and Network Visualization, Springer Nature, 2024, pp. 18–33.

MDPs as distribution transformers: Affine invariant synthesis for safety objectives
S. Akshay, K. Chatterjee, T. Meggendorfer, D. Zikelic, in:, International Conference on Computer Aided Verification, Springer Nature, 2023, pp. 86–112.

Automated tail bound analysis for probabilistic recurrence relations
Y. Sun, H. Fu, K. Chatterjee, A.K. Goharshady, in:, Computer Aided Verification, Springer Nature, 2023, pp. 16–39.

On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift
P. Tomaszewska, C. Lampert, in:, International Workshop on Reproducible Research in Pattern Recognition, Springer Nature, 2023, pp. 67–73.

Phenotype control of partially specified boolean networks
N. Benes, L. Brim, S. Pastva, D. Safránek, E. Smijáková, in:, 21st International Conference on Computational Methods in Systems Biology, Springer Nature, 2023, pp. 18–35.

Random oracle combiners: Breaking the concatenation barrier for collision-resistance
Y. Dodis, N. Ferguson, E. Goldin, P. Hall, K.Z. Pietrzak, in:, 43rd Annual International Cryptology Conference, Springer Nature, 2023, pp. 514–546.

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.

Shortest dominating set reconfiguration under token sliding
J.M. Kisan, J. Svoboda, in:, 24th International Symposium on Fundamentals of Computation Theory, Springer Nature, 2023, pp. 333–347.

Stronger lower bounds for leakage-resilient secret sharing
C. Hoffmann, M. Simkin, in:, 8th International Conference on Cryptology and Information Security in Latin America, Springer Nature, 2023, pp. 215–228.

Learning provably stabilizing neural controllers for discrete-time stochastic systems
M. Ansaripour, K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:, 21st International Symposium on Automated Technology for Verification and Analysis, Springer Nature, 2023, pp. 357–379.

On the cost of post-compromise security in concurrent Continuous Group-Key Agreement
B. Auerbach, M. Cueto Noval, G. Pascual Perez, K.Z. Pietrzak, in:, 21st International Conference on Theory of Cryptography, Springer Nature, 2023, pp. 271–300.

Generic-group lower bounds via reductions between geometric-search problems: With and without preprocessing
B. Auerbach, C. Hoffmann, G. Pascual Perez, in:, 21st International Conference on Theory of Cryptography, Springer Nature, 2023, pp. 301–330.

(Verifiable) delay functions from Lucas sequences
C. Hoffmann, P. Hubádek, C. Kamath, T. Krák, in:, 21st International Conference on Theory of Cryptography, Springer Nature, 2023, pp. 336–362.

: Boosting liquidity in payment channel networks with online admission control
M. Bastankhah, K. Chatterjee, M.A. Maddah-Ali, S. Schmid, J. Svoboda, M.X. Yeo, in:, 27th International Conference on Financial Cryptography and Data Security, Springer Nature, 2023, pp. 309–325.

Divide & Scale: Formalization and roadmap to robust sharding
Z. Avarikioti, A. Desjardins, E. Kokoris Kogias, R. Wattenhofer, in:, 30th International Colloquium on Structural Information and Communication Complexity, Springer Nature, 2023, pp. 199–245.

A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties
R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, S. Soudjani, in:, 35th International Conference on Computer Aided Verification, Springer Nature, 2023, pp. 3–15.

Proof of availability and retrieval in a modular blockchain architecture
S. Cohen, G. Goren, E. Kokoris Kogias, A. Sonnino, A. Spiegelman, in:, 27th International Conference on Financial Cryptography and Data Security, Springer Nature, 2023, pp. 36–53.

Correct approximation of stationary distributions
T. Meggendorfer, in:, TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2023, pp. 489–507.

Computing adequately permissive assumptions for synthesis
A. Anand, K. Mallik, S.P. Nayak, A.K. Schmuck, in:, TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2023, pp. 211–228.

A learner-verifier framework for neural network controllers and certificates of stochastic systems
K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:, Tools and Algorithms for the Construction and Analysis of Systems , Springer Nature, 2023, pp. 3–25.