Aleksandra Korolova

Orcid: 0000-0001-8237-9058

According to our database1, Aleksandra Korolova authored at least 41 papers between 2005 and 2024.

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Bibliography

2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions.
CoRR, 2024

2023
Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest.
Proc. ACM Hum. Comput. Interact., April, 2023

Pushing the Boundaries of Private, Large-Scale Query Answering.
CoRR, 2023

Fairness in Matching under Uncertainty.
Proceedings of the International Conference on Machine Learning, 2023

Discrimination through Image Selection by Job Advertisers on Facebook.
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.
CoRR, 2022

Differentially-Private "Draw and Discard" Machine Learning: Training Distributed Model from Enormous Crowds.
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.
Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

2021
Advances and Open Problems in Federated Learning.
Found. Trends Mach. Learn., 2021

Auditing for Discrimination in Algorithms Delivering Job Ads.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging.
Proceedings of the WSDM '21, 2021

Robust Allocations with Diversity Constraints.
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.
Proceedings of the ANRW '21: Applied Networking Research Workshop, 2021

Platform Power and AI: The Case of Content.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
The Power of the Hybrid Model for Mean Estimation.
Proc. Priv. Enhancing Technol., 2020

On the Data Fight Between Cities and Mobility Providers.
CoRR, 2020

Preference-Informed Fairness.
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.
Proceedings of the 1st Conference on Information-Theoretic Cryptography, 2020

2019
Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes.
Proc. ACM Hum. Comput. Interact., 2019

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model.
J. Priv. Confidentiality, 2019

Advances and Open Problems in Federated Learning.
CoRR, 2019

Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes.
CoRR, 2019

Privacy-Preserving WSDM.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018
The Power of The Hybrid Model for Mean Estimation.
CoRR, 2018

Differentially-Private "Draw and Discard" Machine Learning.
CoRR, 2018

Facebook's Advertising Platform: New Attack Vectors and the Need for Interventions.
CoRR, 2018

Practical Privacy-Preserving Friend Recommendations on Social Networks.
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.
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.
CoRR, 2017

2015
Understanding Sensitivity by Analyzing Anonymity [Guest editor's introduction].
IEEE Secur. Priv., 2015

2014
Cloak and Swagger: Understanding Data Sensitivity through the Lens of User Anonymity.
Proceedings of the 2014 IEEE Symposium on Security and Privacy, 2014

RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014

2013
Privacy via the Johnson-Lindenstrauss Transform.
J. Priv. Confidentiality, 2013

2012
Protecting privacy when mining and sharing user data.
PhD thesis, 2012

2011
Personalized Social Recommendations - Accurate or Private?
Proc. VLDB Endow., 2011

Privacy Violations Using Microtargeted Ads: A Case Study.
J. Priv. Confidentiality, 2011

2010
On the (Im)possibility of Preserving Utility and Privacy in Personalized Social Recommendations.
CoRR, 2010

2009
Releasing search queries and clicks privately.
Proceedings of the 18th International Conference on World Wide Web, 2009

2008
Link privacy in social networks.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2005
Ramsey numbers of stars versus wheels of similar sizes.
Discret. Math., 2005

Enhancing the privacy of web-based communication.
Proceedings of the 14th international conference on World Wide Web, 2005


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