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
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
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.
Honored to receive the ACM SIGSAC Outstanding Contributions Award for outstanding research contributions and leadership in data security and privacy at CCS 2021.
I received an IBM Faculty Award for my proposal “Privacy-preserving Big Data Analytics” (research done in collaboration with Pietro Colombo).
I have been named IEEE Fellow for contributions to security and privacy for data and applications
I have been named 2011 ACM Distinguished Scientist. See the press release at the ACM Web Site.