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Thesis topic proposal
 
Security and privacy aspects of machine learning

THESIS TOPIC PROPOSAL

Institute: Eötvös Loránd University, Budapest
computer sciences
Doctoral School of Informatics

Thesis supervisor: Péter Ligeti
Location of studies (in Hungarian): ELTE
Abbreviation of location of studies: ELTE


Description of the research topic:

Though machine learning methods have various advantages, the possible attack surfaces are also increasing in number. The main goals of the applicants are building threat models against various machine learning algorithms, identifying security and privacy risks and the theoretical design, implementation and validation of the respective countermeasures.

Required language skills: angol
Further requirements: 
Basic proficiency in machine learning and algorithms, expertise in cryptography.

Number of students who can be accepted: 2

Deadline for application: 2024-05-31


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
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