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Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2

Referenz

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.

Publication Type

Beitrag in Konferenztagungsband

"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice

Referenz

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.

Publication Type

Beitrag in Konferenztagungsband

Cybersecurity in the Smart Grid: Practitioners' Perspective

SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning

Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors

Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples

Referenz

Apruzzese, G., Vladimirov, R., Tastemirova, A., & Laskov, P. (2022). Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. IEEE Transactions on Network and Service Management (TNSM), 19(4).

Publication Type

Beitrag in wissenschaftlicher Fachzeitschrift

Participating Institutions

Estimating time-varying risk aversion from option prices and realized returns

Criminal liability of legal entities and criminal compliance in the principality of Liechtenstein

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