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Aleksandra Korolova
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2020 – today
- 2024
- [j11]Piotr Sapiezynski, Levi Kaplan, Alan Mislove, Aleksandra Korolova:
On the Use of Proxies in Political Ad Targeting. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-31 (2024) - [c25]Basileal Imana
, Aleksandra Korolova
Auditing for Racial Discrimination in the Delivery of Education Ads. FAccT 2024: 2348-2361 - [c24]Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan:
Stability and Multigroup Fairness in Ranking with Uncertain Predictions. ICML 2024 - [i26]Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan:
Stability and Multigroup Fairness in Ranking with Uncertain Predictions. CoRR abs/2402.09326 (2024) - [i25]Basileal Imana, Aleksandra Korolova, John S. Heidemann:
Auditing for Racial Discrimination in the Delivery of Education Ads. CoRR abs/2406.00591 (2024) - [i24]Ashish Goel, Zhihao Jiang, Aleksandra Korolova, Kamesh Munagala, Sahasrajit Sarmasarkar:
Differential Privacy with Multiple Selections. CoRR abs/2407.14641 (2024) - [i23]Jane Castleman, Aleksandra Korolova:
Why am I Still Seeing This: Measuring the Effectiveness Of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems. CoRR abs/2408.11910 (2024) - 2023
- [j10]Basileal Imana
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): 1-33 (2023) - [c23]Varun Nagaraj Rao
Discrimination through Image Selection by Job Advertisers on Facebook. FAccT 2023: 1772-1788 - [c22]Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova:
Fairness in Matching under Uncertainty. ICML 2023: 7775-7794 - [i22]Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova:
Fairness in Matching under Uncertainty. CoRR abs/2302.03810 (2023) - [i21]Brendan Avent, Aleksandra Korolova:
Pushing the Boundaries of Private, Large-Scale Query Answering. CoRR abs/2302.04833 (2023) - [i20]Varun Nagaraj Rao, Aleksandra Korolova:
Discrimination through Image Selection by Job Advertisers on Facebook. CoRR abs/2306.07527 (2023) - 2022
- [c21]Marc Juarez, Aleksandra Korolova:
“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning. AFCP 2022: 67-85 - [c20]Vasyl Pihur, Aleksandra Korolova
Differentially-Private "Draw and Discard" Machine Learning: Training Distributed Model from Enormous Crowds. CSCML 2022: 468-486 - [i19]Marc Juarez, Aleksandra Korolova:
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning. CoRR abs/2206.12183 (2022) - [i18]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 abs/2207.08773 (2022) - 2021
- [j9]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [c19]Seth Lazar, Taina Bucher, Aleksandra Korolova, Cailin O'Connor, Nicolas Suzor:
Platform Power and AI: The Case of Content. AIES 2021: 2 - [c18]Basileal Imana, Aleksandra Korolova, John S. Heidemann
Institutional privacy risks in sharing DNS data. ANRW 2021: 69-75 - [c17]Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
Robust Allocations with Diversity Constraints. NeurIPS 2021: 29684-29696 - [c16]Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke:
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. WSDM 2021: 13-21 - [c15]Basileal Imana, Aleksandra Korolova, John S. Heidemann
Auditing for Discrimination in Algorithms Delivering Job Ads. WWW 2021: 3767-3778 - [i17]Basileal Imana, Aleksandra Korolova, John S. Heidemann:
Auditing for Discrimination in Algorithms Delivering Job Ads. CoRR abs/2104.04502 (2021) - [i16]Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala:
Robust Allocations with Diversity Constraints. CoRR abs/2109.15015 (2021) - 2020
- [j8]Brendan Avent, Yatharth Dubey, Aleksandra Korolova:
The Power of the Hybrid Model for Mean Estimation. Proc. Priv. Enhancing Technol. 2020(4): 48-68 (2020) - [c14]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-informed fairness. FAT* 2020: 546 - [c13]Amos Beimel
The Power of Synergy in Differential Privacy: Combining a Small Curator with Local Randomizers. ITC 2020: 14:1-14:25 - [c12]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-Informed Fairness. ITCS 2020: 16:1-16:23 - [i15]Guillermo Baltra, Basileal Imana, Wuxuan Jiang, Aleksandra Korolova:
On the Data Fight Between Cities and Mobility Providers. CoRR abs/2004.09072 (2020)
2010 – 2019
- 2019
- [j7]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) - [j6]Muhammad Ali, Piotr Sapiezynski, Miranda Bogen
Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes. Proc. ACM Hum. Comput. Interact. 3(CSCW): 199:1-199:30 (2019) - [c11]Aleksandra Korolova:
Privacy-Preserving WSDM. WSDM 2019: 4 - [i14]Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-Informed Fairness. CoRR abs/1904.01793 (2019) - [i13]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 abs/1904.02095 (2019) - [i12]Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke:
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. CoRR abs/1912.04255 (2019) - [i11]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
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - [i10]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 abs/1912.08951 (2019) - 2018
- [c10]Aleksandra Korolova, Vinod Sharma:
Cross-App Tracking via Nearby Bluetooth Low Energy Devices. CODASPY 2018: 43-52 - [c9]William Brendel
Practical Privacy-Preserving Friend Recommendations on Social Networks. WWW (Companion Volume) 2018: 111-112 - [i9]Irfan Faizullabhoy, Aleksandra Korolova:
Facebook's Advertising Platform: New Attack Vectors and the Need for Interventions. CoRR abs/1803.10099 (2018) - [i8]Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng:
Differentially-Private "Draw and Discard" Machine Learning. CoRR abs/1807.04369 (2018) - [i7]Yatharth Dubey, Aleksandra Korolova:
The Power of The Hybrid Model for Mean Estimation. CoRR abs/1811.12040 (2018) - 2017
- [c8]Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits:
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. USENIX Security Symposium 2017: 747-764 - [i6]Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits:
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. CoRR abs/1705.00831 (2017) - [i5]Jun Tang, Aleksandra Korolova, Xiaolong Bai, Xueqiang Wang, XiaoFeng Wang:
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12. CoRR abs/1709.02753 (2017) - 2015
- [j5]Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane:
Understanding Sensitivity by Analyzing Anonymity [Guest editor's introduction]. IEEE Secur. Priv. 13(2): 14-21 (2015) - 2014
- [c7]Úlfar Erlingsson, Vasyl Pihur, Aleksandra Korolova:
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response. CCS 2014: 1054-1067 - [c6]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: 493-508 - [i4]Úlfar Erlingsson, Aleksandra Korolova, Vasyl Pihur:
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response. CoRR abs/1407.6981 (2014) - 2013
- [j4]Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra:
Privacy via the Johnson-Lindenstrauss Transform. J. Priv. Confidentiality 5(1) (2013) - 2012
- [b1]Aleksandra Korolova:
Protecting privacy when mining and sharing user data. Stanford University, USA, 2012 - [i3]Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra:
Privacy via the Johnson-Lindenstrauss Transform. CoRR abs/1204.2606 (2012) - 2011
- [j3]Aleksandra Korolova:
Privacy Violations Using Microtargeted Ads: A Case Study. J. Priv. Confidentiality 3(1) (2011) - [j2]Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma:
Personalized Social Recommendations - Accurate or Private? Proc. VLDB Endow. 4(7): 440-450 (2011) - [i2]Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma:
Personalized Social Recommendations - Accurate or Private? CoRR abs/1105.4254 (2011) - 2010
- [c5]Aleksandra Korolova:
Privacy Violations Using Microtargeted Ads: A Case Study. ICDM Workshops 2010: 474-482 - [i1]Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma:
On the (Im)possibility of Preserving Utility and Privacy in Personalized Social Recommendations. CoRR abs/1004.5600 (2010)
2000 – 2009
- 2009
- [c4]Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas:
Releasing search queries and clicks privately. WWW 2009: 171-180 - 2008
- [c3]Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu:
Link privacy in social networks. CIKM 2008: 289-298 - [c2]Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu:
Link Privacy in Social Networks. ICDE 2008: 1355-1357 - 2005
- [j1]Aleksandra Korolova:
Ramsey numbers of stars versus wheels of similar sizes. Discret. Math. 292(1-3): 107-117 (2005) - [c1]Aleksandra Korolova, Ayman Farahat, Philippe Golle:
Enhancing the privacy of web-based communication. WWW (Special interest tracks and posters) 2005: 1096-1097
Coauthor Index
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