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MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search
16 references·0 citing·39 second hopsampled
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search (2024)MAFT: Efficient Model-Agnostic Fairness T…Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing (2023)Latent Imitator: Generating N…NeuronFair (2022)NeuronFairExplanation-guided fairness testing through genetic algorithm (2022)Explanation-guided fairness t…A Review on Fairness in Machine Learning (2022)A Review on Fairness in Machi…White-box fairness testing through adversarial sampling (2020)White-box fairness testing th…Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models (2020)Metamorphic Testing and Certi…Fairness in Deep Learning: A Computational Perspective (2020)Fairness in Deep Learning: A …On Measuring Social Biases in Sentence Encoders (2019)On Measuring Social Biases in…The Price of Fair PCA: One Extra Dimension (2018)The Price of Fair PCA: One Ex…A Reductions Approach to Fair Classification (2018)A Reductions Approach to Fair…Penalizing Unfairness in Binary Classification (2017)Penalizing Unfairness in Bina…Optimized Pre-Processing for Discrimination Prevention (2017)Optimized Pre-Processing for …Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Deep Learning for Finance: Deep Portfolios (2016)Deep Learning for Finance: De…Learning Fair Representations (2013)Learning Fair RepresentationsThree naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Discrimination-aware data mining (2008)Classifying without discriminating (2009)Measuring Discrimination in Socially-Sensitive Decision Records (2009)The ethics of algorithms: Mapping the debate (2016)Fairness through awareness (2012)Semantics derived automatically from language corpora contain human-like biases (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)The Economics of Discrimination. (1972)Big Data's Disparate Impact (2014)Machine behaviour (2019)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)The Cross-Section of Expected Stock Returns (1992)Market Reactions to Tangible and Intangible Information (2006)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness and Abstraction in Sociotechnical Systems (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)The measurement of psychological androgyny. (1974)Measuring individual differences in implicit cognition: The implicit association test. (1998)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Bias and Fairness in Large Language Models: A Survey (2024)Certifying and Removing Disparate Impact (2015)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Automated directed fairness testing (2018)Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods (2021)A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers (2023)Equality of Opportunity in Supervised Learning (2016)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Artificial Intelligence Governance For Businesses (2022)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)A Survey on Bias and Fairness in Machine Learning (2021)Fairness in recommender systems: research landscape and future directions (2023)Mental-LLM (2024)
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References

  • 2017Algorithmic Decision Making and the Cost of Fairness1,170 cited
  • 2013Learning Fair Representations1,155 cited
  • 2016Deep Learning for Finance: Deep Portfolios954 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2022A Review on Fairness in Machine Learning620 cited
  • 2019On Measuring Social Biases in Sentence Encoders502 cited
  • 2017Optimized Pre-Processing for Discrimination Prevention472 cited
  • 2018A Reductions Approach to Fair Classification423 cited
  • 2020Fairness in Deep Learning: A Computational Perspective216 cited
  • 2020White-box fairness testing through adversarial sampling138 cited
  • 2018The Price of Fair PCA: One Extra Dimension84 cited
  • 2020Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models81 cited
  • 2017Penalizing Unfairness in Binary Classification71 cited
  • 2022NeuronFair63 cited
  • 2022Explanation-guided fairness testing through genetic algorithm51 cited
  • 2023Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing

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