I am a WiSE Gabilan Assistant Professor of Computer Science at USC. Previously, I was a Research Scientist at Google.
My research interests are: data privacy, privacy-preserving algorithms and technologies; big data applications; and large-scale data mining of social and information networks.
I received my Ph.D. in Computer Science from Stanford University, where I was a Cisco Systems Stanford Graduate Fellow advised by Prof. Rajeev Motwani (RIP, Rajeev) and Prof. Ashish Goel. My Ph.D. thesis focused on protecting privacy when mining and sharing user data, and has been recognized by 2011-2012 Arthur L. Samuel Thesis Award for the best Ph.D. thesis in the Computer Science department at Stanford.
While at Stanford, I collaborated with students and faculty from the Research on Algorithms for the Internet group. I was also fortunate to intern at Microsoft Research, Facebook, Yahoo! Research, and PARC.
I am looking for motivated graduate students and postdocs interested in privacy.
Recently, I taught CSCI599: Privacy in the World of Big Data, served on the PC for S&P 2016, and participated in the inaugural Women in Data Science Conference.
Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane [bibtex]
IEEE Symposium on Security & Privacy (S&P'2014)
Invited to Special Issue of IEEE Security and Privacy Magazine (2015)
Úlfar Erlingsson, Vasyl Pihur, Aleksandra Korolova [bibtex]
21st ACM Conference on Computer and Communications Security (CCS'2014)
Runner up for the 2015 PET Award
Popular press: Google Research Blog, ComputerWorld, CNET, CDT
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra [bibtex]
Journal of Privacy and Confidentiality, Volume 5, Issue 1, Pages 39-71 (2013)
Winner of the 2011-2012 Arthur L. Samuel Thesis Award,
for the best Ph.D. thesis in the Computer Science department at Stanford.
Aleksandra Korolova [bibtex]
Journal of Privacy and Confidentiality, Volume 3, Issue 1, Pages 27-49 (2011)
Workshop version in IEEE International Workshop on Privacy Aspects of Data Mining (PADM ’2010)
Co-winner of the 2011 PET Award [Press release]
Popular press: New York Times, Gawker
Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma [bibtex]
37th International Conference on Very Large Databases (VLDB ’2011)
Popular press: MIT Technology Review (arXiv Blog)
Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas [bibtex]
18th International World Wide Web Conference (WWW ’2009)
Nominated for Best Paper Award
Popular press: Microsoft Research, New Scientist
Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu [bibtex]
ACM 17th Conference on Information and Knowledge Management (CIKM ’2008)
Poster version in 24th International Conference on Data Engineering (ICDE ’2008)
Popular press: ACM Crossroads Magazine
Aleksandra Korolova, Ayman Farahat, Philippe Golle [bibtex]
14th International World Wide Web Conference (WWW ’2005)
Aleksandra Korolova [bibtex]
Discrete Mathematics, Volume 292, Issues 1-3, Pages 107-117 (March 2005)
I grew up in Latvia and graduated from Riga secondary school #40, spending fun weeekends preparing for math olympiads at NMS and learning algorithms at Progmeistars. I am indebted for the many opportunities I have had to my family, amazing teachers at the above institutions, and to the George Soros Foundation. My outstanding high school mathematics teacher, Viktor Glukhov, now teaches and tutors in London.
I loved spending my college years at MIT, and especially enjoyed the classes taught by Prof. Patrick Winston. I first tried doing research in Dan Spielman's error-correcting codes class and Joe Gallian's Duluth REU. At Stanford, I enjoyed learning randomized algorithms, algorithmic game theory, cognitive science and design thinking. I also had fun advocating for graduate student interests, distributing funding and organizing tax workshops as part of the Graduate Student Council, and serving as a mentor and Center for Teaching and Learning liason for Computer Science TAs.
In my free time, I enjoy traveling, skiing, playing tennis, and learning languages.
I proudly support EFF, MIT, and MEET.