Recent publications

A.T. Hoang, B. Carminati, E. Ferrari. Personalized Anonymization of Knowledge Graphs. IEEE TDSC, 2023.

A. Lekssays, B. Carminati, E. Ferrari. MalCon: A blockchain-based malware containment framework for Internet of Things. Comput. Networks 233:109853 (2023)

F. Coglio, A. Lekssays, B. Carminati, E. Ferrari. Early-Stage Ransomware Detection Based on Pre-attack Internal API Calls. AINA (2) 2023: 417-429

G. Sirigu, B. Carminati, E. Ferrari. ConPrEF: A Context-based Privacy Enforcement Framework for Edge Computing. EDGE 2023: 72-78

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Award

Happy and honored to receive the IEEE 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗦𝗼𝗰𝗶𝗲𝘁𝗮𝗹 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗔𝘄𝗮𝗿𝗱 𝟮𝟬𝟮𝟰, for “pioneering and sustained contributions to the security and privacy of online social
networks”.

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Ph.D. position

We have an opening for a highly motivated Ph.D student with strong background in data security and privacy to join our group. Send me an email with your resume and a brief research statement, if interested.

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Award

Honored to receive the ACM SIGSAC Outstanding Contributions Award  for outstanding research contributions and leadership in data security and privacy at CCS 2021.

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ACM fellow

I have  been named  ACM fellow for contributions to security and privacy of data and social network systems

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IBM Faculty Award

I received an IBM Faculty Award for my proposal “Privacy-preserving Big Data Analytics” (research done in collaboration with Pietro Colombo).

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I have  been named  IEEE Fellow for contributions to security and privacy for data and applications

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I have  been named  2011 ACM Distinguished Scientist.  See the press release at the ACM Web Site.

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Google award

I received a Google research award for my proposal “Privacy Preference Mining: combining social search technologies and data mining tools to protect the privacy of On-line social network users”.

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IEEE interview

Check my interview with the IEEE Computer Society.

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