Isci, J. (2021). Aktuelle Entwicklungen im Nachbarrecht. Zak – Zivilrecht aktuell, 207.

Article in Scientific Journal

Rubin, M., Howe, L. B., Charlton, S., Suelman, M., Cani, A., Tshuwa, L., & Parker, A. (2023). The Indifference of Transport: Comparative Research of "Infrastructural Ruins" in the Gauteng City-Region and Greater Maputo. Urban Planning, 8(4).

Article in Scientific Journal

https://dx.doi.org/10.17645/up.v8i4.7264

Howe, L. B. (2024). From lively spatial combinations to lively theorizations. Urban Geography, 45(3).

Article in Scientific Journal

https://dx.doi.org/10.1080/02723638.2024.2308425

Becker, J., Chasin, F., Rosemann, M., Beverungen, D., Priefer, J., vom Brocke, J., Matzner, M., del Rio Ortega, A., Resinas, M., Santoro, F., Song, M., Park, K., & Di Ciccio, C. (2023). City 5.0: Citizen involvement in the design of future cities. Electronic Markets, 33(10).

Article in Scientific Journal

https://dx.doi.org/10.1007/s12525-023-00621-y

Watson, R., Ketter, W., Recker, J., & Seidel, S. (2022). Sustainable Energy Transition: Intermittency Policy Based on Digital Mirror Actions. Journal of the Association for Information Systems, 23(3).

Article in Scientific Journal

Tricomi, P. P., Facciolo, L., Apruzzese, G., & Conti, M. (2023). Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2. Paper presented at the ACM Conference on Data and Application Security and Privacy (CODASPY), Charlotte, NC, United States.

Paper in Conference Proceedings

https://dx.doi.org/10.1145/3577923.3583653

Apruzzese, G., Anderson, H. S., Dambra, S., Freeman, D., Pierazzi, F., & Roundy, K. A. (2023). "Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. Paper presented at the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), Raleigh, North Carolina, USA.

Paper in Conference Proceedings

https://dx.doi.org/10.1109/satml54575.2023.00031

Meyer, J., & Apruzzese, G. (2022). Cybersecurity in the Smart Grid: Practitioners' Perspective. Paper presented at the Industrial Control Systems Security Workshop (ICSS).

Paper in Conference Proceedings

https://dx.doi.org/10.48550/arxiv.2210.13119

Apruzzese, G., Conti, M., & Yuan, Y. (2022). SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. Paper presented at the Annual Computer Security Applications Conference, Austin, Texas, USA.

Paper in Conference Proceedings

https://dx.doi.org/10.1145/3564625.3567980

Apruzzese, G., & Subrahmanian, V. (2023). Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors. IEEE Transactions on Dependable and Secure Computing (TDSC), 20(5).

Article in Scientific Journal

https://dx.doi.org/10.1109/tdsc.2022.3210029