Ph.D. positions

I have two open Ph.D. positions for highly motivated candidates interested in working on 1) Cryptographic Techniques for Verifiable Privacy Compliance; 2) LLM-Based Multi-Modal Analysis for Security, Privacy, and Network Resilience in Mobile and Wearable Ecosystems (this last position is sponsored by the Italian Cybersecurity Authority). To apply, check the guidelines at: https://cysec.imtlucca.it/ and select the two projects under my supervision. Deadline: August, 31st.

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Recent publications

  • C. Rondanini, B. Carminati, E. Ferrari, A. Kundu, A Gaudiano. Malware Detection at the Edge with Lightweight LLMs: A Performance Evaluation. ACM Trans. Internet Techn. 26(1): 15:1-15:24 (2026)
  • N. K. Son, C. Rondanini, B. Carminati, E. Ferrari. AUTOMal: An LLM-Based Automated Feature Engineering Framework for Efficient Malware Detection at the Edge. CODASPY 2026: 335-348
  • T. T. L. Nguyen, E. Di Tullio, B. Carminati, Elena Ferrari. PrivacyAssist: A User-Centric Agent Framework for Detecting Privacy Inconsistencies in Android Apps. WISEC 2026: 145-150
  • T. T. L. Nguyen, E. Di Tullio, B. Carminati, Elena Ferrari. ALIBIS: Assessing and mitigating the risk of sensitive metadata Leakage In moBile Image Sharing. Pervasive Mob. Comput. 117: 102171 (2026)
  • W. Song, S. Karanam, Y. Xiao, J. Qi, N. Dautenhahn, N. Meng. E. Ferrari, D. Yao.
    Crypto-Ransomware and Their Defenses: In-Depth Behavioral Characterization, Discussion of Deployability, and New Insights. ACM Comput. Surv. 58(10): 256:1-256:40 (2026)

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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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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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