Fairness-Aware Programming
暂无分享,去创建一个
[1] Matt Fredrikson,et al. Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs , 2017, CCS.
[2] Bernhard Schölkopf,et al. Avoiding Discrimination through Causal Reasoning , 2017, NIPS.
[3] Toniann Pitassi,et al. Learning Fair Representations , 2013, ICML.
[4] Matt J. Kusner,et al. Counterfactual Fairness , 2017, NIPS.
[5] Scott Shenker,et al. Spark: Cluster Computing with Working Sets , 2010, HotCloud.
[6] Aws Albarghouthi,et al. FairSquare: probabilistic verification of program fairness , 2017, Proc. ACM Program. Lang..
[7] Aws Albarghouthi,et al. Repairing Decision-Making Programs Under Uncertainty , 2017, CAV.
[8] Adam Tauman Kalai,et al. Decoupled Classifiers for Group-Fair and Efficient Machine Learning , 2017, FAT.
[9] Yuriy Brun,et al. Fairness testing: testing software for discrimination , 2017, ESEC/SIGSOFT FSE.
[10] Toon Calders,et al. Three naive Bayes approaches for discrimination-free classification , 2010, Data Mining and Knowledge Discovery.
[11] Yair Zick,et al. Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems , 2016, 2016 IEEE Symposium on Security and Privacy (SP).
[12] Antonio Criminisi,et al. Measuring Neural Net Robustness with Constraints , 2016, NIPS.
[13] Dan Grossman,et al. Expressing and verifying probabilistic assertions , 2014, PLDI.
[14] Insup Lee,et al. RT-MaC: runtime monitoring and checking of quantitative and probabilistic properties , 2005, 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05).
[15] Insup Lee,et al. Statistical Runtime Checking of Probabilistic Properties , 2007, RV.
[16] Roxana Geambasu,et al. FairTest: Discovering Unwarranted Associations in Data-Driven Applications , 2015, 2017 IEEE European Symposium on Security and Privacy (EuroS&P).
[17] Esther Rolf,et al. Delayed Impact of Fair Machine Learning , 2018, ICML.
[18] Toon Calders,et al. Classifying without discriminating , 2009, 2009 2nd International Conference on Computer, Control and Communication.
[19] Toniann Pitassi,et al. Fairness through awareness , 2011, ITCS '12.
[20] W. Hoeffding. Probability Inequalities for sums of Bounded Random Variables , 1963 .
[21] Matt Fredrikson,et al. Proxy Discrimination∗ in Data-Driven Systems Theory and Experiments with Machine Learnt Programs , 2017 .
[22] Nathan Srebro,et al. Equality of Opportunity in Supervised Learning , 2016, NIPS.
[23] Carlos Eduardo Scheidegger,et al. Certifying and Removing Disparate Impact , 2014, KDD.
[24] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[25] Yair Zick,et al. Algorithmic Transparency via Quantitative Input Influence , 2017 .