Aleksandra Korolova

Aleksandra Korolova I am a WiSE Gabilan Assistant Professor of Computer Science at USC. Previously, I was a Research Scientist at Google and a Ph.D. student in Computer Science at Stanford.

My research develops and deploys algorithms and technologies that enable data-driven innovations while preserving privacy and fairness.

Current PC(s): International Workshop on Privacy Engineering (IWPE), co-located with IEEE S&P 2019. Steering Committee of the National Academies of Sciences, Engineering and Medicine for “Challenges and New Approaches for Protecting Privacy in Federal Statistical Programs” (2019).

News: Received a Security and Privacy Research Award for research on differential privacy from Google. Selected as a VMware Research Fellow for “Data Privacy: Foundations and Applications” at the Simons Institute. Invited Speaker for WSDM 2019.

Prospective Students: I have open PhD and post-doc positions for motivated students with an interest in privacy and algorithmic fairness.


SAL 206, 941 Bloom Walk, Los Angeles, CA 90089
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Medium posts


Yatharth Dubey, Aleksandra Korolova   
Selected for presentation Privacy in Machine Learning Workshop @NeurIPS (2018)

Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng   
Privacy in Machine Learning and Artificial Intelligence Workshop @ICML (2018)
4th Workshop on the Theory and Practice of Differential Privacy @CCS (2018)

Irfan Faizullabhoy, Aleksandra Korolova   
Workshop on Technology and Consumer Protection (ConPro) @S&P (2018)
Poster at FTC PrivacyCon (2018)
Popular press: Gizmodo, Business Insider, The Guardian

Jun Tang, Aleksandra Korolova, Xiaolong Bai, Xueqiang Wang, Xiaofeng Wang   
3rd Workshop on the Theory and Practice of Differential Privacy @CCS (2017)
Popular press: Wired, EFF

Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits   [bibtex, slides, video]
26th USENIX Security Symposium (2017)
Selected for presentation in Private and Secure Machine Learning Workshop @ICML (2017)
Selected for presentation in 3rd Workshop on the Theory and Practice of Differential Privacy @CCS (2017)

William Brendel, Fangqiu Han, Luis Marujo, Luo Jie, Aleksandra Korolova   
Poster in The Web Conference (WWW 2018)

Aleksandra Korolova, Vinod Sharma   
FTC PrivacyCon (2017)
[video (starting at 0:30:35)]
8th ACM Conference on Data and Application Security and Privacy (Codaspy'2018)

Basileal Imana, Aleksandra Korolova, John Heidemann   
NDSS Workshop on DNS Privacy (DNSPRIV '2018)

Abdulaziz Alhadlaq, Jun Tang, Marwan Almaymoni, Aleksandra Korolova   
10th Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETS'2017 )

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)

Ph.D. Thesis [bibtex]
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  [Slides, Video]
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 received my Ph.D. in Computer Science from Stanford, 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 was fortunate to intern at Microsoft Research, Facebook, Yahoo! Research, and PARC.

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.

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 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, and playing tennis.

I proudly support EFF, MIT, and MEET.

Initial design copied from J. Alex Halderman.