Data mining over encrypted big data using combinatorial algebra
Wednesday, May 17, 2017
Building 8 Auditorium - 11:00 AM
(Cookies at 10:30 AM)
Homomorphic encryption is a form of encryption which allows various types of computations to be carried out on ciphertext and generate an encrypted result which, when decrypted, matches the result of operations performed on the plaintext. This is a desirable feature in modern communication system architectures. Homomorphic encryption would allow chaining together different services without exposing the data to each of those services. The homomorphic property of various cryptosystems can be used, in particular, to create private information retrieval schemes and enable widespread use of cloud computing by ensuring the confidentiality of processed data. In this talk, I will present an efficient Fully Homomorphic Encryption (FHE) scheme using non-commutative algebraic structure. I will also discuss applications that enables doing various machine learning and statistical analysis over encrypted big data. This is a joint work with V. Shpilrain.
Dr. Delaram Kahrobaei is a Full Tenured Professor at the City University of New York. She has a joint appointment at CUNY Graduate Center in the PhD program in Computer science and at NYCCT (CUNY) in the Mathematics Department. Besides her position at CUNY, she is also an Adjunct Professor of Computer Science at the New York University as well as the President/co-founder of a university start-up Infoshield, Inc.
Her main research area is Post-Quantum Algebraic Cryptography, Information Security, Data Science. Her research has been partially supported by grants from the Office of Naval Research, American Association of Advancement in Sciences (AAAS), National Science Foundation (NSF), Research Foundation of CUNY (RF), City Tech Foundation, London Mathematical Society, Edinburgh Mathematical Society, and Swiss National Foundation. She has 35 publications in prestigious journals and conference proceedings including 4 edited books in AMS (3) and De Gruyter (1).
Delaram is the director of C-LAC, Center for Logic, Algebra and Computation. She is in the Advisory Committee for the newly created CUNY Hub for Innovation and Entrepreneurship. Kahrobaei is a member of faculty advisory board of the Data Science @CUNY. She is the founder of New York Women in Mathematics and Computing Network and is on the advisory board of LifeNome.
IS&T Colloquium Committee Host: Nargess Memarsadeghi
Sign language interpreter upon request: 301-286-7040