Author of the publication

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.

 

Other publications of authors with the same name

On the effectiveness of system API-related information for Android ransomware detection., , , , , and . Comput. Secur., (2019)Cybersecurity and AI: The PRALab Research Experience., , , , , , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 426-431. CEUR-WS.org, (2023)Enhancing android malware detection explainability through function call graph APIs., , , and . J. Inf. Secur. Appl., (February 2024)PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis., , , and . ITASEC, volume 2940 of CEUR Workshop Proceedings, page 219-232. CEUR-WS.org, (2021)Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?, , , , , , and . CoRR, (2020)Evasion attacks against machine learning at test time, , , , , , , and . Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 387--402. Springer, (2013)An Evasion Resilient Approach to the Detection of Malicious PDF Files., , , and . ICISSP (Revised Selected Papers), volume 576 of Communications in Computer and Information Science, page 68-85. Springer, (2015)On the Feasibility of Adversarial Sample Creation Using the Android System API., , , and . Inf., 11 (9): 433 (2020)Do gradient-based explanations tell anything about adversarial robustness to android malware?, , , , , , and . Int. J. Mach. Learn. Cybern., 13 (1): 217-232 (2022)Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection., , , , , , , , and . IEEE Trans. Dependable Secur. Comput., 16 (4): 711-724 (2019)