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A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness.

, , and . AIES, page 1023-1033. ACM, (2021)

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Energy-aware optimization and mechanism design for cellular device-to-device local area networks., , , , and . CISS, page 309-314. IEEE, (2016)On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning., , , , , , , and . CoRR, (2022)A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness., , and . AIES, page 1023-1033. ACM, (2021)Proof-of-Learning: Definitions and Practice., , , , , , and . SP, page 1039-1056. IEEE, (2021)Washing The Unwashable : On The (Im)possibility of Fairwashing Detection., , , , , , , and . NeurIPS, (2022)Dataset Inference: Ownership Resolution in Machine Learning., , and . ICLR, OpenReview.net, (2021)Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility., , , and . CoRR, (2023)Tubes Among Us: Analog Attack on Automatic Speaker Identification., , , , , , and . USENIX Security Symposium, page 265-282. USENIX Association, (2023)Proof-of-Learning is Currently More Broken Than You Think., , , , , , , and . EuroS&P, page 797-816. IEEE, (2023)Non-Discriminatory Machine Learning through Convex Fairness Criteria., , and . AIES, page 116. ACM, (2018)