Aleksandra Korolova

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 43

Top Topics

Machine Learning

Differential Privacy

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan
Stability and Multigroup Fairness in Ranking with Uncertain Predictions. CoRR (2024)
Ashish Goel, Zhihao Jiang, Aleksandra Korolova, Kamesh Munagala, Sahasrajit Sarmasarkar
Differential Privacy with Multiple Selections. CoRR (2024)
Basileal Imana, Aleksandra Korolova, John S. Heidemann
Auditing for Racial Discrimination in the Delivery of Education Ads. CoRR (2024)
Basileal Imana, Aleksandra Korolova, John S. Heidemann
Auditing for Racial Discrimination in the Delivery of Education Ads. FAccT (2024)
Varun Nagaraj Rao, Aleksandra Korolova
Discrimination through Image Selection by Job Advertisers on Facebook. CoRR (2023)
Varun Nagaraj Rao, Aleksandra Korolova
Discrimination through Image Selection by Job Advertisers on Facebook. FAccT (2023)
Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
Fairness in Matching under Uncertainty. CoRR (2023)
Brendan Avent, Aleksandra Korolova
Pushing the Boundaries of Private, Large-Scale Query Answering. CoRR (2023)
Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
Fairness in Matching under Uncertainty. ICML (2023)
Basileal Imana, Aleksandra Korolova, John S. Heidemann
Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest. Proc. ACM Hum. Comput. Interact. 7 (CSCW1) (2023)
Marc Juarez, Aleksandra Korolova
“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning. AFCP (2022)
Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng
Differentially-Private "Draw and Discard" Machine Learning: Training Distributed Model from Enormous Crowds. CSCML (2022)
Marc Juárez, Aleksandra Korolova
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning. CoRR (2022)
Basileal Imana, Aleksandra Korolova, John S. Heidemann
Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest. CoRR (2022)
Basileal Imana, Aleksandra Korolova, John S. Heidemann
Institutional privacy risks in sharing DNS data. ANRW (2021)
Seth Lazar, Taina Bucher, Aleksandra Korolova, Cailin O'Connor, Nicolas Suzor
Platform Power and AI: The Case of Content. AIES (2021)
Basileal Imana, Aleksandra Korolova, John S. Heidemann
Auditing for Discrimination in Algorithms Delivering Job Ads. WWW (2021)
Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
Robust Allocations with Diversity Constraints. NeurIPS (2021)
Basileal Imana, Aleksandra Korolova, John S. Heidemann
Auditing for Discrimination in Algorithms Delivering Job Ads. CoRR (2021)
Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
Robust Allocations with Diversity Constraints. CoRR (2021)
Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. WSDM (2021)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14 (1-2) (2021)
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
Preference-Informed Fairness. ITCS (2020)
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
Preference-informed fairness. FAT* (2020)
Guillermo Baltra, Basileal Imana, Wuxuan Jiang, Aleksandra Korolova
On the Data Fight Between Cities and Mobility Providers. CoRR (2020)
Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
The Power of Synergy in Differential Privacy: Combining a Small Curator with Local Randomizers. ITC (2020)
Brendan Avent, Yatharth Dubey, Aleksandra Korolova
The Power of the Hybrid Model for Mean Estimation. Proc. Priv. Enhancing Technol. 2020 (4) (2020)
Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. CoRR (2019)
Aleksandra Korolova
Privacy-Preserving WSDM. WSDM (2019)
Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke
Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes. CoRR (2019)
Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
Preference-Informed Fairness. CoRR (2019)
Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke
Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
The power of synergy in differential privacy: Combining a small curator with local randomizers. CoRR (2019)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. CoRR (2019)
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. J. Priv. Confidentiality 9 (2) (2019)
Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng
Differentially-Private "Draw and Discard" Machine Learning. CoRR (2018)
Yatharth Dubey, Aleksandra Korolova
The Power of The Hybrid Model for Mean Estimation. CoRR (2018)
Irfan Faizullabhoy, Aleksandra Korolova
Facebook's Advertising Platform: New Attack Vectors and the Need for Interventions. CoRR (2018)
Aleksandra Korolova, Vinod Sharma
Cross-App Tracking via Nearby Bluetooth Low Energy Devices. CODASPY (2018)
William Brendel, Fangqiu Han, Luís Marujo, Luo Jie, Aleksandra Korolova
Practical Privacy-Preserving Friend Recommendations on Social Networks. WWW (Companion Volume) (2018)
Jun Tang, Aleksandra Korolova, Xiaolong Bai, Xueqiang Wang, XiaoFeng Wang
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12. CoRR (2017)
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. CoRR (2017)
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. USENIX Security Symposium (2017)
Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane
Understanding Sensitivity by Analyzing Anonymity [Guest editor's introduction]. IEEE Secur. Priv. 13 (2) (2015)
Úlfar Erlingsson, Aleksandra Korolova, Vasyl Pihur
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response. CoRR (2014)
Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane
Cloak and Swagger: Understanding Data Sensitivity through the Lens of User Anonymity. IEEE Symposium on Security and Privacy (2014)
Úlfar Erlingsson, Vasyl Pihur, Aleksandra Korolova
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response. CCS (2014)
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
Privacy via the Johnson-Lindenstrauss Transform. J. Priv. Confidentiality 5 (1) (2013)
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
Privacy via the Johnson-Lindenstrauss Transform CoRR (2012)
Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma
Personalized Social Recommendations - Accurate or Private? CoRR (2011)
Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma
Personalized Social Recommendations - Accurate or Private? Proc. VLDB Endow. 4 (7) (2011)
Aleksandra Korolova
Privacy Violations Using Microtargeted Ads: A Case Study. J. Priv. Confidentiality 3 (1) (2011)
Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma
On the (Im)possibility of Preserving Utility and Privacy in Personalized Social Recommendations. CoRR (2010)
Aleksandra Korolova
Privacy Violations Using Microtargeted Ads: A Case Study. ICDM Workshops (2010)
Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas
Releasing search queries and clicks privately. WWW (2009)
Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu
Link Privacy in Social Networks. ICDE (2008)
Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu
Link privacy in social networks. CIKM (2008)
Aleksandra Korolova, Ayman Farahat, Philippe Golle
Enhancing the privacy of web-based communication. WWW (Special interest tracks and posters) (2005)
Aleksandra Korolova
Ramsey numbers of stars versus wheels of similar sizes. Discret. Math. 292 (1-3) (2005)