“Use of homomorphic cryptogr...”
Dalel C - inter
12 semanas en 2023
In my current role at INOTEQIA, we specialize in data security and encryption, leveraging cutting-edge techniques such as CKKS (Homomorphic Encryption) to protect sensitive information. One of our recent and intriguing initiatives involved applying machine learning models to encrypted and non-encrypted data sets, followed by a meticulous comparison of their respective occupancies. This innovative approach allowed us to explore the feasibility and efficacy of analyzing encrypted data without compromising privacy. By harnessing the power of CKKS encryption and machine learning, we are not only advancing the field of secure data analysis but also exploring new horizons in privacy-preserving technologies that have the potential to revolutionize various sectors, from healthcare to finance.
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A favor: CKKS encryption enables the application of machine learning algorithms directly on encrypted data, facilitating the development of privacy-preserving machine learning models.
En contra: While CKKS is versatile, it may not support all mathematical operations or functions required for certain specialized applications, potentially limiting its usab
Escrito el
26/09/2023
“A nice way to learn teachin...”
Sadet T - English Teacher Intern
26 semanas en 2018
It was a great opportunity to work with two experienced and skillful teachers. Also, their positive attitude and the objective reviews of our academic staff were a huge help.
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A favor: Good mentors, being able to try different approaches
En contra: I don’t think the schools I had internships in were really representative of the standart Turkish schools
Escrito el
27/10/2023
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Prácticas de Seguridad
Prácticas en INOTEQIA
English