( en | de | ru )

 

Disambiguation of "Apruzzese, Giovanni"

Author of the publication

copydeleteadd this publication to your clipboard
The Role of Machine Learning in Cybersecurity.

, , , , , , and . CoRR, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Clarissa Apruzzese

Giovanni Natale

Giovanni Bacigalupo

Giovanni Lamura

Giovanni Falcone

 

Other publications of authors with the same name

Cybersecurity in the Smart Grid: Practitioners' Perspective., and . CoRR, (2022)"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice., , , , , and . CoRR, (2022)On the Evaluation of Sequential Machine Learning for Network Intrusion Detection., , and . ARES, page 113:1-113:10. ACM, (2021)Identifying malicious hosts involved in periodic communications., , , , and . NCA, page 11-18. IEEE Computer Society, (2017)Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations., , , , , and . ESORICS (3), volume 14346 of Lecture Notes in Computer Science, page 162-182. Springer, (2023)Detection and Threat Prioritization of Pivoting Attacks in Large Networks., , , and . IEEE Trans. Emerg. Top. Comput., 8 (2): 404-415 (2020)Attribute Inference Attacks in Online Multiplayer Video Games: A Case Study on DOTA2., , , and . CODASPY, page 27-38. ACM, (2023)Towards an Efficient Detection of Pivoting Activity., , , and . IM, page 980-985. IEEE, (2021)SoK: The Impact of Unlabelled Data in Cyberthreat Detection., , and . EuroS&P, page 20-42. IEEE, (2022)Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems., , , , and . CoRR, (2021)