GB(1)                         (GB) BRAMM.XYZ                           GB(1)



NAME

       GB - Georg Bramm

SYNOPSIS

       $ bramm.xyz --contact
         >   georg.bramm 'at' aisec.fraunhofer.de
         >  github, linkedin  48.267354, 11.665017

       $ bramm.xyz --about
         > PhD candidate at Fraunhofer AISEC
         > cryptocurrencies, applied cryptography,
           decentralized protocols, hacking, coding, privacy,
           bitcoin, anonymity, it-security 

         >              
         
       $ bramm.xyz --quote         
         > 'Welcome to the desert of the real.'
           (The Matrix, 1999)           

WORK
         >  now  - researcher @ Fraunhofer AISEC
         >  2014 - coauthor of the Emu-webApp  @ LMU IPS

TEACHING

         ¬ Courses at TUM
           · Applied Cryptography (Seminar)
           · Privacy Matters - Ensuring Confidentiality (Seminar)
           · Data Privacy Technologies (Seminar)
           · Privacy for NoSQL/Graph Databases (Lecture)

         ¬ Guided Research
           · Evaluation of PQC lattice-based approaches to ABE
         
         ¬ Supervised Thesis
	   · A Threat-Driven Empirical Analysis of Proof-of-Intelligence
           · Privacy Meets Performance: Rethinking HE in FL
           · Limitations of Functional Encryption in FL
           · Building and Evaluating Geospatial cryp. schemes
           · RkNN query on encrypted multi-dimensional data
           · KNN on Encrypted Geospatial Data
           · Range Query over Encrypted Geospatial Data
           · A searchable encrypted Doc. Collection using ABE
           · Evaluation of Outsourced Private Set Intersection 
           · Forward and Backward Privacy in Dynamic SE 

PUBLICATIONS

       [bib] G. Bramm et al., "UPCARE: User Privacy-preserving Cancer 
             Research Platform", 2024.
       [bib] G. Bramm, "cipherPath: Efficient Traversals 
             over Homomorphically Encrypted Paths", 2020.
       [bib] M. Schanzenbach, G. Bramm, and J. Schütte, “reclaimid: 
             Secure, self-sovereign identities using name systems and 
             attribute-based encryption”, in 2018 17th IEEE 
             International Conference On Trust, Security And Privacy 
             In Computing And Communications/12th IEEE International 
             Conference On Big Data Science And Engineering 
             (TrustCom/BigDataSE), pp. 946–957, IEEE, 2018. 
       [bib] G. Bramm, M. Gall, and J. Schütte, “Blockchain-based 
             distributed attribute based encryption”, 2018. 
       [bib] R. Winkelmann and G. Raess, “Introducing a web application 
             for labeling, visualizing speech and correcting derived 
             speech signals.,” in LREC, pp. 4129–4133, 2014.