Aleksandra Korolova

81 papers A* 10A 5C 1Journal 49Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	An External Fairness Evaluation of LinkedIn Talent Search. AAAI Tina Behzad, Siddartha Devic, Vatsal Sharan, Aleksandra Korolova, David Kempe
2026	J	`jnl`	Measuring Validity in LLM-based Resume Screening. CoRR Jane Castleman, Zeyu Shen, Blossom Metevier, Max Springer, Aleksandra Korolova
2026	J	`jnl`	The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety. CoRR Max Springer, Chung Peng Lee, Blossom Metevier, Jane Castleman, Bohdan Turbal, Hayoung Jung, Zeyu Shen, Aleksandra Korolova
2025	—	`conf`	Adultification Bias in LLMs and Text-to-Image Models. FAccT Jane Castleman, Aleksandra Korolova
2025	J	`jnl`	Adultification Bias in LLMs and Text-to-Image Models. CoRR Jane Castleman, Aleksandra Korolova
2025	J	`jnl`	An External Fairness Evaluation of LinkedIn Talent Search. CoRR Tina Behzad, Siddartha Devic, Vatsal Sharan, Aleksandra Korolova, David Kempe
2025	—	`conf`	Auditing for Bias in Ad Delivery Using Inferred Demographic Attributes. FAccT Basileal Imana, Aleksandra Korolova, John S. Heidemann
2025	J	`jnl`	AutoCode: LLMs as Problem Setters for Competitive Programming. CoRR Shang Zhou, Zihan Zheng, Kaiyuan Liu, Zeyu Shen, Zerui Cheng, Zexing Chen, Hansen He, Jianzhu Yao, Huanzhi Mao, Qiuyang Mang, Tianfu Fu, Beichen Li, Dongruixuan Li, Wenhao Chai, Zhuang Liu, Aleksandra Korolova, Peter Henderson, Natasha Jaques, Pramod Viswanath, Saining Xie, Jingbo Shang
2025	—	`conf`	Differential Privacy Under Multiple Selections. FORC Ashish Goel, Zhihao Jiang, Aleksandra Korolova, Kamesh Munagala, Sahasrajit Sarmasarkar
2025	—	`conf`	External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery. FAccT Basileal Imana, Zeyu Shen, John S. Heidemann, Aleksandra Korolova
2025	J	`jnl`	External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery. CoRR Basileal Imana, Zeyu Shen, John S. Heidemann, Aleksandra Korolova
2025	J	`jnl`	FrontierCS: Evolving Challenges for Evolving Intelligence. CoRR Qiuyang Mang, Wenhao Chai, Zhifei Li, Huanzhi Mao, Shang Zhou, Alexander Du, Hanchen Li, Shu Liu, Edwin Chen, Yichuan Wang, Xieting Chu, Zerui Cheng, Yuan Xu, Tian Xia, Zirui Wang, Tianneng Shi, Jianzhu Yao, Yilong Zhao, Qizheng Zhang, Charlie Ruan, Zeyu Shen, Kaiyuan Liu, Runyuan He, Dong Xing, Zerui Li, Zirong Zeng, Yige Jiang, Lufeng Cheng, Ziyi Zhao, Youran Sun, Wesley Zheng, Meiyuwang Zhang, Ruyi Ji, Xuechang Tu, Zihan Zheng, Zexing Chen, Kangyang Zhou, Zhaozi Wang, Jingbang Chen, Aleksandra Korolova, Peter Henderson, Pramod Viswanath, Vijay Ganesh, Saining Xie, Zhuang Liu, Dawn Song, Sewon Min, Ion Stoica, Joseph E. Gonzalez, Jingbo Shang, Alvin Cheung
2025	J	`jnl`	LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? CoRR Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He, Dongruixuan Li, Stanley Wei, Hangyi Hao, Jianzhu Yao, Peiyao Sheng, Zixuan Wang, Wenhao Chai, Aleksandra Korolova, Peter Henderson, Sanjeev Arora, Pramod Viswanath, Jingbo Shang, Saining Xie
2025	J	`jnl`	Multi-Selection for Recommendation Systems. CoRR Sahasrajit Sarmasarkar, Zhihao Jiang, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
2025	J	`jnl`	ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search. CoRR Zeyu Shen, Basileal Imana, Tong Wu, Chong Xiang, Prateek Mittal, Aleksandra Korolova
2024	J	`jnl`	Auditing for Bias in Ad Delivery Using Inferred Demographic Attributes. CoRR Basileal Imana, Aleksandra Korolova, John S. Heidemann
2024	—	`conf`	Auditing for Racial Discrimination in the Delivery of Education Ads. FAccT Basileal Imana, Aleksandra Korolova, John S. Heidemann
2024	J	`jnl`	Auditing for Racial Discrimination in the Delivery of Education Ads. CoRR Basileal Imana, Aleksandra Korolova, John S. Heidemann
2024	J	`jnl`	Differential Privacy with Multiple Selections. CoRR Ashish Goel, Zhihao Jiang, Aleksandra Korolova, Kamesh Munagala, Sahasrajit Sarmasarkar
2024	J	`jnl`	On the Use of Proxies in Political Ad Targeting. CoRR Piotr Sapiezynski, Levi Kaplan, Alan Mislove, Aleksandra Korolova
2024	J	`jnl`	On the Use of Proxies in Political Ad Targeting. Proc. ACM Hum. Comput. Interact. Piotr Sapiezynski, Levi Kaplan, Alan Mislove, Aleksandra Korolova
2024	A*	`conf`	Stability and Multigroup Fairness in Ranking with Uncertain Predictions. ICML Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan
2024	J	`jnl`	Stability and Multigroup Fairness in Ranking with Uncertain Predictions. CoRR Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan
2024	—	`conf`	Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems. AIES (1) Jane Castleman, Aleksandra Korolova
2024	J	`jnl`	Why am I Still Seeing This: Measuring the Effectiveness Of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems. CoRR Jane Castleman, Aleksandra Korolova
2023	—	`conf`	Discrimination through Image Selection by Job Advertisers on Facebook. FAccT Varun Nagaraj Rao, Aleksandra Korolova
2023	J	`jnl`	Discrimination through Image Selection by Job Advertisers on Facebook. CoRR Varun Nagaraj Rao, Aleksandra Korolova
2023	A*	`conf`	Fairness in Matching under Uncertainty. ICML Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
2023	J	`jnl`	Fairness in Matching under Uncertainty. CoRR Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
2023	J	`jnl`	Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest. Proc. ACM Hum. Comput. Interact. Basileal Imana, Aleksandra Korolova, John S. Heidemann
2023	J	`jnl`	Pushing the Boundaries of Private, Large-Scale Query Answering. CoRR Brendan Avent, Aleksandra Korolova
2022	J	`jnl`	"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning. CoRR Marc Juarez, Aleksandra Korolova
2022	—	`conf`	Differentially-Private "Draw and Discard" Machine Learning: Training Distributed Model from Enormous Crowds. CSCML Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng
2022	J	`jnl`	Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest. CoRR Basileal Imana, Aleksandra Korolova, John S. Heidemann
2022	—	`conf`	“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning. AFCP Marc Juarez, Aleksandra Korolova
2021	A	`conf`	Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. WSDM Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 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
2021	A*	`conf`	Auditing for Discrimination in Algorithms Delivering Job Ads. WWW Basileal Imana, Aleksandra Korolova, John S. Heidemann
2021	J	`jnl`	Auditing for Discrimination in Algorithms Delivering Job Ads. CoRR Basileal Imana, Aleksandra Korolova, John S. Heidemann
2021	—	`conf`	Institutional privacy risks in sharing DNS data. ANRW Basileal Imana, Aleksandra Korolova, John S. Heidemann
2021	C	`conf`	Platform Power and AI: The Case of Content. AIES Seth Lazar, Taina Bucher, Aleksandra Korolova, Cailin O'Connor, Nicolas Suzor
2021	A*	`conf`	Robust Allocations with Diversity Constraints. NeurIPS Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
2021	J	`jnl`	Robust Allocations with Diversity Constraints. CoRR Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
2020	J	`jnl`	On the Data Fight Between Cities and Mobility Providers. CoRR Guillermo Baltra, Basileal Imana, Wuxuan Jiang, Aleksandra Korolova
2020	A	`conf`	Preference-Informed Fairness. ITCS Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2020	—	`conf`	Preference-informed fairness. FAT* Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2020	A	`conf`	The Power of Synergy in Differential Privacy: Combining a Small Curator with Local Randomizers. ITC Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
2020	J	`jnl`	The Power of the Hybrid Model for Mean Estimation. Proc. Priv. Enhancing Technol. Brendan Avent, Yatharth Dubey, Aleksandra Korolova
2019	J	`jnl`	Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. CoRR Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR 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
2019	J	`jnl`	BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. J. Priv. Confidentiality Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
2019	J	`jnl`	Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes. Proc. ACM Hum. Comput. Interact. Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke
2019	J	`jnl`	Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes. CoRR Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke
2019	J	`jnl`	Preference-Informed Fairness. CoRR Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona
2019	A	`conf`	Privacy-Preserving WSDM. WSDM Aleksandra Korolova
2019	J	`jnl`	The power of synergy in differential privacy: Combining a small curator with local randomizers. CoRR Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
2018	—	`conf`	Cross-App Tracking via Nearby Bluetooth Low Energy Devices. CODASPY Aleksandra Korolova, Vinod Sharma
2018	J	`jnl`	Differentially-Private "Draw and Discard" Machine Learning. CoRR Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng
2018	J	`jnl`	Facebook's Advertising Platform: New Attack Vectors and the Need for Interventions. CoRR Irfan Faizullabhoy, Aleksandra Korolova
2018	—	`conf`	Practical Privacy-Preserving Friend Recommendations on Social Networks. WWW (Companion Volume) William Brendel, Fangqiu Han, Luís Marujo, Luo Jie, Aleksandra Korolova
2018	J	`jnl`	The Power of The Hybrid Model for Mean Estimation. CoRR Yatharth Dubey, Aleksandra Korolova
2017	A*	`conf`	BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. USENIX Security Symposium Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
2017	J	`jnl`	BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model. CoRR Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
2017	J	`jnl`	Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12. CoRR Jun Tang, Aleksandra Korolova, Xiaolong Bai, Xueqiang Wang, Xiaofeng Wang
2015	J	`jnl`	Understanding Sensitivity by Analyzing Anonymity [Guest editor's introduction]. IEEE Secur. Priv. Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane
2014	A*	`conf`	Cloak and Swagger: Understanding Data Sensitivity through the Lens of User Anonymity. IEEE Symposium on Security and Privacy Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane
2014	A*	`conf`	RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response. CCS Úlfar Erlingsson, Vasyl Pihur, Aleksandra Korolova
2014	J	`jnl`	RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response. CoRR Úlfar Erlingsson, Aleksandra Korolova, Vasyl Pihur
2013	J	`jnl`	Privacy via the Johnson-Lindenstrauss Transform. J. Priv. Confidentiality Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
2012	J	`jnl`	Privacy via the Johnson-Lindenstrauss Transform CoRR Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
2012	—	`—`	Protecting privacy when mining and sharing user data. Aleksandra Korolova
2011	J	`jnl`	Personalized Social Recommendations - Accurate or Private? CoRR Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma
2011	J	`jnl`	Personalized Social Recommendations - Accurate or Private? Proc. VLDB Endow. Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma
2011	J	`jnl`	Privacy Violations Using Microtargeted Ads: A Case Study. J. Priv. Confidentiality Aleksandra Korolova
2010	J	`jnl`	On the (Im)possibility of Preserving Utility and Privacy in Personalized Social Recommendations. CoRR Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma
2010	—	`conf`	Privacy Violations Using Microtargeted Ads: A Case Study. ICDM Workshops Aleksandra Korolova
2009	A*	`conf`	Releasing search queries and clicks privately. WWW Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas
2008	A*	`conf`	Link Privacy in Social Networks. ICDE Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu
2008	A	`conf`	Link privacy in social networks. CIKM Aleksandra Korolova, Rajeev Motwani, Shubha U. Nabar, Ying Xu
2005	—	`conf`	Enhancing the privacy of web-based communication. WWW (Special interest tracks and posters) Aleksandra Korolova, Ayman Farahat, Philippe Golle
2005	J	`jnl`	Ramsey numbers of stars versus wheels of similar sizes. Discret. Math. Aleksandra Korolova