My main research subjects are Fully Homomorphic Encryption, Lattice-based Cryptology, Deep Neural Networks, and more general Cloud Computing.
I graduated from TU Wien in mathematics, then in November 2015 became a Marie Skłodowska-Curie Research Fellow as part of the ECRYPT-NET project.
Fast Homomorphic Evaluation of Deep Discretized Neural Networks (IACR-CRYPTO-2018) link
Fast Homomorphic Evaluation of Deep Discretized Neural Networks (IACR-CRYPTO-2018) pdf
Equiprobability: Faster Algorithms for Subset-Sum Variants and Vertex Cover (AQIS-2018) pdf
[🔑] Studying FHE schemes, primitives they build upon & their applications
[🔑] Defining minimal requirements for practical FHE usage, e.g., in Cloud-Computation
[🔑] Studying functionality limits and practicality of FHE based solutions for various use-cases
[🔑] Probabilistic methods to solve hardest instances
[🔑] Investigating algorithmic lower-bounds from a complexity theoretic perspective
[🔑] How many items optimally fill my knapsack?
[🔑] Deploying best practices in times of ubiquitous tracking and profiling
[🔑] Real-world solutions for artificial intelligence classification on encrypted images & data
[🔑] Discussing the impact of crypto-technology on the (unheeding?) society
- Practical Homomorphic Encryption. Imlementations of Practical Homomorphic Encryption Schemes. GitHub
- TBD. tbd. A/V/Slides
You’re very welcome to send an (encrypted) E-mail: to me. Please use my PGP-Key below and have a look at the surprisingly easy HowTo’s for Thunderbird, Webmail, M$ Outlook users to send messages, that are for my pair of eyes only – regardless whether the content is highly confidential or not. You could also use the convenient webservice to reach me.
|GnuPG/PGP||0x5A44531D||Matthias Minihold||8BF9 338E 4064 C10F C62A 5B92 CAF9 B773 5A44 531D|
Here are two more alternative encodings to verify the fingerprint (e.g. on a mobile device).
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