Aleksandra Korolova

According to our database, Aleksandra Korolova authored at least 44 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Why am I Still Seeing This: Measuring the Effectiveness Of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems.

Jane Castleman, Aleksandra Korolova

CoRR, 2024

Differential Privacy with Multiple Selections.

Ashish Goel, Zhihao Jiang, Aleksandra Korolova, Kamesh Munagala, Sahasrajit Sarmasarkar

CoRR, 2024

Stability and Multigroup Fairness in Ranking with Uncertain Predictions.

Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Auditing for Racial Discrimination in the Delivery of Education Ads.

Basileal Imana, Aleksandra Korolova, John S. Heidemann

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest.

Basileal Imana, Aleksandra Korolova, John S. Heidemann

Proc. ACM Hum. Comput. Interact., April, 2023

Pushing the Boundaries of Private, Large-Scale Query Answering.

Brendan Avent, Aleksandra Korolova

CoRR, 2023

Fairness in Matching under Uncertainty.

Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova

Proceedings of the International Conference on Machine Learning, 2023

Discrimination through Image Selection by Job Advertisers on Facebook.

Varun Nagaraj Rao, Aleksandra Korolova

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning.

Marc Juarez, Aleksandra Korolova

CoRR, 2022

Differentially-Private "Draw and Discard" Machine Learning: Training Distributed Model from Enormous Crowds.

Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng

Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2022

“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning.

Marc Juarez, Aleksandra Korolova

Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

2021

Advances and Open Problems in Federated Learning.

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

Found. Trends Mach. Learn., 2021

Auditing for Discrimination in Algorithms Delivering Job Ads.

Basileal Imana, Aleksandra Korolova, John S. Heidemann

Proceedings of the WWW '21: The Web Conference 2021, 2021

Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging.

Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke

Proceedings of the WSDM '21, 2021

Robust Allocations with Diversity Constraints.

Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Institutional privacy risks in sharing DNS data.

Basileal Imana, Aleksandra Korolova, John S. Heidemann

Proceedings of the ANRW '21: Applied Networking Research Workshop, 2021

Platform Power and AI: The Case of Content.

Seth Lazar, Taina Bucher, Aleksandra Korolova, Cailin O'Connor, Nicolas Suzor

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

The Power of the Hybrid Model for Mean Estimation.

Brendan Avent, Yatharth Dubey, Aleksandra Korolova

Proc. Priv. Enhancing Technol., 2020

On the Data Fight Between Cities and Mobility Providers.

Guillermo Baltra, Basileal Imana, Wuxuan Jiang, Aleksandra Korolova

CoRR, 2020

Preference-Informed Fairness.

Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona

Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

The Power of Synergy in Differential Privacy: Combining a Small Curator with Local Randomizers.

Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer

Proceedings of the 1st Conference on Information-Theoretic Cryptography, 2020

2019

Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes.

Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke

Proc. ACM Hum. Comput. Interact., 2019

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model.

Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits

J. Priv. Confidentiality, 2019

Advances and Open Problems in Federated Learning.

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

CoRR, 2019

Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes.

Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke

CoRR, 2019

Privacy-Preserving WSDM.

Aleksandra Korolova

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

The Power of The Hybrid Model for Mean Estimation.

Yatharth Dubey, Aleksandra Korolova

CoRR, 2018

Differentially-Private "Draw and Discard" Machine Learning.

Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng

CoRR, 2018

Facebook's Advertising Platform: New Attack Vectors and the Need for Interventions.

Irfan Faizullabhoy, Aleksandra Korolova

CoRR, 2018

Practical Privacy-Preserving Friend Recommendations on Social Networks.

William Brendel, Fangqiu Han, Luís Marujo, Luo Jie, Aleksandra Korolova

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Cross-App Tracking via Nearby Bluetooth Low Energy Devices.

Aleksandra Korolova, Vinod Sharma

Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy, 2018

2017

Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12.

Jun Tang, Aleksandra Korolova, Xiaolong Bai, Xueqiang Wang, XiaoFeng Wang

CoRR, 2017

2015

Understanding Sensitivity by Analyzing Anonymity [Guest editor's introduction].

Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane

IEEE Secur. Priv., 2015

2014

Cloak and Swagger: Understanding Data Sensitivity through the Lens of User Anonymity.

Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane

Proceedings of the 2014 IEEE Symposium on Security and Privacy, 2014

RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.

Úlfar Erlingsson, Vasyl Pihur, Aleksandra Korolova

Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014

2013

Privacy via the Johnson-Lindenstrauss Transform.

Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra

J. Priv. Confidentiality, 2013

2012

Protecting privacy when mining and sharing user data.

Aleksandra Korolova

PhD thesis, 2012

2011

Personalized Social Recommendations - Accurate or Private?

Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma

Proc. VLDB Endow., 2011

Privacy Violations Using Microtargeted Ads: A Case Study.

Aleksandra Korolova

J. Priv. Confidentiality, 2011

2010

On the (Im)possibility of Preserving Utility and Privacy in Personalized Social Recommendations.

Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma

CoRR, 2010

2009

Releasing search queries and clicks privately.

Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas

Proceedings of the 18th International Conference on World Wide Web, 2009

2008

Link privacy in social networks.

Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2005

Ramsey numbers of stars versus wheels of similar sizes.

Aleksandra Korolova

Discret. Math., 2005

Enhancing the privacy of web-based communication.

Aleksandra Korolova, Ayman Farahat, Philippe Golle

Proceedings of the 14th international conference on World Wide Web, 2005