Nicholas (Nick) Genise

I am a Senior Cryptography Research Scientist at Apple. My main research interests are lattice-based cryptography and fully homomorphic encryption together with its applications. In general, I am interested in cryptography. Previously, I was a Scientist at Duality, an Advanced Computer Scientist at SRI's Computer Science Lab, and a postdoctoral researcher in the Rutgers mathematics department supervised by Stephen Miller. I graduated with a Ph.D. in ECE from UCSD in September 2019, advised by Daniele Micciancio. Prior to UCSD, I graduated with a B.S.E. in Electrical Engineering from the University of Michigan, Ann Arbor in 2013.

CV (Outdated)
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  1. Short Concurrent Covert Authenticated Key Exchange (Short cAKE), with Karim Eldefrawry and Stanislaw Jarecki. (To appear) Asiacrypt 2023.

  2. Collaborative Privacy-Preserving Analysis of Oncological Data using Multiparty Homomorphic Encryption, with Ravit Geva, Alexander Gusev, Yuriy Polyakov, Lior Liram, Oded Rosolio, Andreea Alexandru, Marcelo Blatt, Zohar Duchin, Barliz Waissengrin, Dan Mirelman, Felix Bukstein, Deborah T. Blumenthal, Ido Wolf, Sharon Pelles, Tali Schaffer, Lee A. Lavi, Daniele Micciancio, Vinod Vaikuntanathan, Ahmad Al Badawi, and Shafi Goldwasser.
    Proceedings of the National Academy of Sciences, 2023, Vol. 120, No. 33, eprint.

  3. On the Hardness of Scheme-Switching Between SIMD FHE Schemes, with Karim Eldefrawy and Nathan Manohar.
    PQCrypto 2023, eprint.

  4. OpenFHE: Open-Source Fully Homomorphic Encryption Library, with Ahmad Al Badawi, Jack Bates, Flávio Bergamaschi, David Bruce Cousins, Saroja Erabelli, Shai Halevi, Hamish Hunt, Andrey Kim, Yongwoo Lee, Zeyu Liu, Daniele Micciancio, Ian Quah, Yuriy Polyakov, R. V. Saraswathy, Kurt Rohloff, Jonathan Saylor, Dmitriy Suponitsky, Matthew Triplett, Vinod Vaikuntanathan, and Vincent Zucca.
    WAHC 2022, eprint.

  5. CraterLake: A Hardware Accelerator for Efficient Unbounded Computation on Encrypted Data, with Nikola Samardzic, Axel Feldman, Aleksandar Krastev, Nathan Manohar, Srinivas Devadas, Karim Eldefrawy, Chris Peikert, and Daniel Sanchez.
    ISCA 2022.

  6. On Regenerating Codes and Proactive Secret Sharing: Relationships and Implications, with Karim Eldefrawy, Rutuja Kshirsagar, and Moti Yung.
    SSS 2021, eprint.

  7. Quantum Optimization Heuristics with an Application to Knapsack Problems, with Wim van Dam, Karim Eldefrawy, and Natalie Parham.
    IEEE Quantum Week 2021, arxiv.

  8. Gadget-Based iNTRU Lattice Trapdoors, with Baiyu Li.
    Indocrypt 2020, eprint, code.

  9. Implementing Token-Based Obfuscation under (Ring) LWE, with Cheng Chen, Daniele Micciancio, Yuriy Polyakov, and Kurt Rohloff.
    WAHC 2020, eprint.

  10. Improved Discrete Gaussian and Subgaussian Analysis for Lattice Cryptography with Daniele Micciancio, Chris Peikert, and Michael Walter.
    PKC 2020, eprint, code.

  11. Approximate Trapdoors for Lattices and Smaller Hash-and-Sign Signatures, with Yilei Chen and Pratyay Mukherjee.
    Asiacrypt 2019, eprint.

  12. Homomorphic Encryption for Finite Automata, with Craig Gentry, Shai Halevi, Baiyu Li, and Daniele Micciancio.
    Asiacrypt 2019, eprint, code.

  13. Building an Efficient Lattice Gadget Toolkit: Subgaussian Sampling and More, with Daniele Micciancio and Yuriy Polyakov.
    Eurocrypt 2019, eprint.

  14. Faster Gaussian Sampling for Trapdoor Lattices with Arbitrary Modulus, with Daniele Micciancio.
    Eurocrypt 2018, eprint.


  1. F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption, with Axel Feldmann, Nikola Samardzic, Aleksandar Krastev, Srini Devadas, Karim Eldefrawy, Ron Dreslinski, Chris Peikert, and Daniel Sanchez, arxiv.