Anay Mehrotra

Orcid: 0000-0002-8566-5452

According to our database1, Anay Mehrotra authored at least 17 papers between 2019 and 2024.

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Bibliography

2024
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach.
CoRR, 2024

2023
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.
CoRR, 2023

Maximizing Submodular Functions for Recommendation in the Presence of Biases.
Proceedings of the ACM Web Conference 2023, 2023

Bias in Evaluation Processes: An Optimization-Based Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions.
Proceedings of the International Conference on Machine Learning, 2023

Sampling Individually-Fair Rankings that are Always Group Fair.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Revisiting Group Fairness Metrics: The Effect of Networks.
Proc. ACM Hum. Comput. Interact., 2022

Fair Ranking with Noisy Protected Attributes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Fairness for AUC via Feature Augmentation.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Input Validation with Symbolic Execution.
CoRR, 2021

Fair Classification with Adversarial Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Mitigating Bias in Set Selection with Noisy Protected Attributes.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Effect of the Rooney Rule on Implicit Bias in the Long Term.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020
Interventions for ranking in the presence of implicit bias.
Proceedings of the FAT* '20: Conference on Fairness, 2020

2019
Fair Online Advertising.
CoRR, 2019

Toward Controlling Discrimination in Online Ad Auctions.
Proceedings of the 36th International Conference on Machine Learning, 2019


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