| 2026 | LICS | Fixed-Parameter Tractable Inference for Discrete Probabilistic Programs, via String Diagram Algebraisation. | Benedikt Peterseim, Milan Lopuha-Zwakenberg |
| 2025 | DSN | Attack-Defense Trees with Offensive and Defensive Attributes. | Danut-Valentin Copae, Reza Soltani, Milan Lopuha-Zwakenberg |
| 2024 | FASE | Fuzzy quantitative attack tree analysis. | Thi Kim Nhung Dang, Milan Lopuha-Zwakenberg, Marille Stoelinga |
| 2024 | MODELSWARD | Fault Tree Reliability Analysis via Squarefree Polynomials. | Milan Lopuha-Zwakenberg |
| 2024 | SAFECOMP | Safety-Security Analysis via Attack-Fault-Defense Trees: Semantics and Cut Set Metrics. | Reza Soltani, Milan Lopuha-Zwakenberg, Marille Stoelinga |
| 2023 | DSN | Cost-Damage Analysis of Attack Trees. | Milan Lopuha-Zwakenberg, Marille Stoelinga |
| 2023 | FM | sfPFL: A Probabilistic Logic for Fault Trees. | Stefano M. Nicoletti, Milan Lopuha-Zwakenberg, Ernst Moritz Hahn, Marille Stoelinga |
| 2023 | FMICS | Optimal Spare Management via Statistical Model Checking: A Case Study in Research Reactors. | Reza Soltani, Matthias Volk, Leonardo Diamonte, Milan Lopuha-Zwakenberg, Marille Stoelinga |
| 2023 | SEFM | Attack Time Analysis in Dynamic Attack Trees via Integer Linear Programming. | Milan Lopuha-Zwakenberg, Marille Stoelinga |
| 2023 | SEFM | sfATM: A Logic for Quantitative Security Properties on Attack Trees. | Stefano M. Nicoletti, Milan Lopuha-Zwakenberg, Ernst Moritz Hahn, Marille Stoelinga |
| 2022 | ISIT | Robust Optimization for Local Differential Privacy. | Jasper Goseling, Milan Lopuha-Zwakenberg |
| 2021 | ISIT | Robust Local Differential Privacy. | Milan Lopuha-Zwakenberg, Jasper Goseling |
| 2021 | SECRYPT | Comparing Classifiers' Performance under Differential Privacy. | Milan Lopuha-Zwakenberg, Mina Alishahi, Jeroen Kivits, Jordi Klarenbeek, Gert-Jan van der Velde, Nicola Zannone |
| 2020 | NDSS | Locally Differentially Private Frequency Estimation with Consistency. | Tianhao Wang, Milan Lopuha-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li |
| 2020 | SIGMOD | Estimating Numerical Distributions under Local Differential Privacy. | Zitao Li, Tianhao Wang, Milan Lopuha-Zwakenberg, Ninghui Li, Boris Skoric |