Daniele Micciancio

Research Teaching Papers Book

Address: University of California, San Diego
Computer Science & Engineering Department
9500 Gilman Drive, Mail code 0404. La Jolla, CA 92093-5004, USA
Phone: (858) 822-2577. Fax: (858) 534-7029
E-mail: daniele(at)cs.ucsd.edu

I am a professor in the Computer Science & Engineering department at the University of California, San Diego. I am a member of the Cryptography and Security group and the Theory of Computation group. My research interests include:

• Algorithms, Complexity and cryptographic applications of lattice and coding problems
• Symbolic analysis of cryptographic protocols (formal methods for computer and network security)
• Many other topics in cryptography (e.g., zero knowledge proofs, cryptographic primitives with special properties)

See research projects and publications web pages for more information about my research. If you want to know more about lattices and their cryptographic applications, take course CSE206A: Lattice Algorithms and Applications (usually offered every two or three years) or read my book Complexity of lattice problems: a cryptographic perspective.

Most recent works (full list)

1. Application-Aware Approximate Homomorphic Encryption: Configuring FHE for Practical Use
   with Alexandru, Al Badawi & Polyakov.
   ePrint 2024/203
   

2. Hintless Single-Server Private Information Retrieval
   with Li, Raykova & Schultz.
   ePrint 2023/1733
   

3. Simulation-Secure Threshold PKE from LWE with Polynomial Modulus
   with Suhl.
   ePrint 2023/1728
   

4. Reductions from Module Lattices to Free Module Lattices, and Application to Dequantizing Module-LLL
   with De Micheli, Pellet-Mary & Tran.
   Crypto 2023 (supersedes ePrint 2022/1356)
   

5. Error Correction and Ciphertext Quantization in Lattice Cryptography
   with Schultz.
   Crypto 2023
   

6. Efficient Machine Learning on Encrypted Data using Hyperdimensional Computing
   with Nam, Zhou, Gupta, De Micheli, Cammarota, Wilkerson & Rosig.
   ISPLED 2023
   

7. Collaborative Privacy-Preserving Analysis of Oncological Data using Multiparty Homomorphic Encryption
   with Geva, Gusev, Polyakov, Liram, Rosolio, Alexandru, Genise, Blatt, Duchin, Waissengreen, Mirelman, Bukstein, Blumenthal, Wolf, Pelles, Shaffer, Lavi, Vaikuntanathan, Al Badawi & Goldwasser.
   PNAS 2023
   

8. Efficient FHEW Bootstrapping with Small Evaluation Keys, and Applications to Threshold Homomorphic Encryption
   with Lee, Kim, Choi, Deryabin, Eom & Yoo
   Eurocrypt 2023
   

9. Faster Amortized FHEW bootstrapping using Ring Automorphisms
   with De Micheli, Kim & Suhl.
   PKC 2024 (to appear)
   

10. Large-Precision Homomorphic Sign Evaluation using FHEW/TFHE Bootstrapping
    with Liu & Polyakov
    Asiacrypt 2022
    

11. with Al Badawi, Bates, Bergamaschi, Cousins, Erabelli, Genise, Halevi, Hunt, Kim, Lee, Liu, Quah, Polyakov, Saraswathy, Rohloff, Saylor, Suponitsky, Triplett, Vaikuntanathan, Zucca
    OpenFHE: Open-Source Fully Homomorphic Encryption Library
    WAHC@CCS 2022
    

12. Securing Approximate Homomorphic Encryption using Differential Privacy
    with Li, Schultz & Sorrell.
    Crypto 2022
    

Professional Activities

• Journals: SIAM J. on Computing (Associate Editor), J. of Cryptology (Associate Editor), Information and Computation (Associate Editor), Journal of Computer and System Sciences (Guest Editor, FOCS 2003 special issue)
• Program Committees: FOCS 2001, FOCS 2003, TCC 2004, Eurocrypt 2004, Crypto 2004, TCC 2006, FCC 2006, Crypto 2006, FOCS 2007, ANTS 2008, SCN 2008, TCC 2009 , TCC 2010 (PC chair), CT-RSA 2011, STOC 2011, Crypto 2011, PQC 2011, TCC 2012, Crypto 2012 Eurocrypt 2013 CT-RSA 2014 SCN 2014 CRYPTO 2015 FOCS 2016 CRYPTO 2018 CRYPTO 2019 (PC chair) CRYPTO 2020 (PC chair) CRYPTO 2022
• General Chair TCC 2014
• Member of ACM SIGACT and IACR

Graduate Students and Postdocs

Current Students and Postdocs: Mark Schultz,
Adam Shul,
Gabrielle De Micheli

Past students: Fritz Schneider (MS 2002), Bogdan Warinschi (PhD 2004), Alejandro Hevia (PhD 2006), Saurabh Panjwani (PhD 2007), Vadim Lyubashevsky (PhD 2008), Scott Yilek (PhD 2010), Panagiotis Voulgaris (PhD 2011), Petros Mol (PhD 2013), Radeshyam Balasundaram (MS 2015), Michael Walter (PhD 2017), Evan Roncevich (MS 2018). Nicholas Genise (PhD 2019), Baiyu Li (PhD 2021) Jessica Sorrell (PhD 2022)

Past Postdocs: Leo Ducas, Nadia Heninger, Marc Fischlin.