Scholarship

  • Barreno, Marco, Blaine Nelson, Anthony D Joseph, and J D Tygar. “The Security of Machine Learning.” Machine Learning 81, no. 2 (May 20, 2010): 121–48. doi:10.1007/s10994-010-5188-5
  • Berendt, Bettina, and Soren Preibusch. “Better Decision Support Through Exploratory Discrimination-Aware Data Mining: Foundations and Empirical Evidence.” Artificial Intelligence and Law 22, no. 2 (January 10, 2014): 175–209. doi:10.1007/s10506-013-9152-0
  • Berendt, Bettina, and Soren Preibusch. “Exploring Discrimination: a User-Centric Evaluation of Discrimination-Aware Data Mining.” 2012 IEEE 12th International Conference on Data Mining Workshops (December 10, 2012): 344–351. doi:10.1109/ICDMW.2012.109
  • Calders, Toon, and Sicco Verwer. “Three Naive Bayes Approaches for Discrimination-Free Classification.” Data Mining and Knowledge Discovery 21, no. 2 (July 27, 2010): 277–292. doi:10.1007/s10618-010-0190-x
  • Calders, Toon, Faisal Kamiran, and Mykola Pechenizkiy. “Building Classifiers with Independency Constraints.” 2009 IEEE 9th International Conference on Data Mining Workshops (December 6, 2009): 13–18. doi:10.1109/ICDMW.2009.83
  • Custers, Bart, and Bart Schermer. "Responsibly Innovating Data Mining and Profiling Tools: A New Approach to Discrimination Sensitive and Privacy Sensitive Attributes." Responsible Innovation 1: Innovative Solutions for Global Issues. (2014): 335-350. doi:10.1007/978-94-017-8956-1_19
  • Custers, Bart, Toon Calders, Bart Schermer, and Tal Z Zarsky. Discrimination and Privacy in the Information Society: Data Mining and Profiling in Large Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. doi:10.1007/978-3-642-30487-3
  • Datta, Anupam, Shayak Sen, and Yair Zick. Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems, Proceedings of 37th IEEE Symposium on Security and Privacy (May 2016). https://www.andrew.cmu.edu/user/danupam/datta-sen-zick-oakland16.pdf
  • DeDeo, Simon. "Wrong Side of the Tracks: Big Data and Protected Categories" (May 27, 2015). arXiv:1412.4643v2
  • Dwork, Cynthia, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel. “Fairness Through Awareness,” 2012 Proceedings of the 3rd Innovations in Theoretical Computer Science Conference (January 9, 2012): 214–226. doi:10.1145/2090236.2090255
  • El-Arini, Khalid, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael, and Blaise Agüera y Arcas. “Transparent User Models for Personalization,” 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (August 8, 2012): 678-686. doi:10.1145/2339530.2339639
  • Feldman, Michael, Sorelle Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian. "Certifying and Removing Disparate Impact" (July 16, 2015). arXiv:1412.3756v3
  • Freitas, Alex A. “Comprehensible Classification Models - A Position Paper.” ACM SIGKDD Explorations Newsletter 15, no. 1 (March 17, 2014): 1–10. doi:10.1145/2594473.2594475
  • Hajian, Sara, and Josep Domingo-Ferrer. “A Methodology for Direct and Indirect Discrimination Prevention in Data Mining.” IEEE Transactions on Knowledge and Data Engineering 25, no. 7 (May 21, 2013): 1445–1459. doi:10.1109/TKDE.2012.72
  • Hajian, Sara, and Josep Domingo-Ferrer. “A Study on the Impact of Data Anonymization on Anti-Discrimination.” 2012 IEEE 12th International Conference on Data Mining Workshops (December 10, 2012): 352–359. doi:10.1109/ICDMW.2012.19
  • Hajian, Sara, Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, and Fosca Giannotti. "Discrimination- and Privacy-Aware Patterns." Data Mining and Knowledge Discovery. Forthcoming. doi:10.1007/s10618-014-0393-7
  • Hajian, Sara, Anna Monreale, Dino Pedreschi, Josep Domingo-Ferrer, and Fosca Giannotti. “Fair Pattern Discovery.” 2014 Proceedings of the 29th Annual ACM Symposium on Applied Computing (March 24, 2014): 113-120 doi:10.1145/2554850.2555043
  • Hajian, Sara, Anna Monreale, Dino Pedreschi, Josep Domingo-Ferrer, and Fosca Giannotti. “Injecting Discrimination and Privacy Awareness Into Pattern Discovery.” 2012 IEEE 12th International Conference on Data Mining Workshops (December 10, 2012): 360–369, doi:10.1109/ICDMW.2012.51
  • Hajian, Sara, Josep Domingo-Ferrer, and Antoni Martinez-Balleste. “Discrimination Prevention in Data Mining for Intrusion and Crime Detection.” 2011 IEEE Symposium on Computational Intelligence in Cyber Security (April 11-15, 2011): 47–54. doi:10.1109/CICYBS.2011.5949405
  • Hajian, Sara, Josep Domingo-Ferrer, and Oriol Farràs. “Generalization-Based Privacy Preservation and Discrimination Prevention in Data Publishing and Mining.” Data Mining and Knowledge Discovery 28, no. 5-6 (January 25, 2014): 1158-1188. doi:10.1007/s10618-014-0346-1
  • Hajian, Sara. “Simultaneous Discrimination Prevention and Privacy Protection in Data Publishing and Mining.” PhD Thesis. Universitat Rovira i Virgili. (June 28, 2013). arXiv:1306.6805
  • Herlocker, Jonathan L, Joseph A Konstan, and John Riedl. “Explaining Collaborative Filtering Recommendations,” Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work. (December 1, 2000): 241-250. doi:10.1145/358916.358995.
  • Kamiran, Faisal, and Toon Calders. “Classifying Without Discriminating.” 2009 2nd International Conference on Computer, Control and Communication. (17-18, February 2009): 1–6. doi:10.1109/IC4.2009.4909197
  • Kamiran, Faisal, and Toon Calders. “Data Preprocessing Techniques for Classification Without Discrimination.” Knowledge and Information Systems 33, no. 1 (December 3, 2011): 1–33. doi:10.1007/s10115-011-0463-8
  • Kamiran, Faisal, Asim Karim, Sicco Verwer, and Heike Goudriaan. “Classifying Socially Sensitive Data Without Discrimination: an Analysis of a Crime Suspect Dataset.” 2012 IEEE 12th International Conference on Data Mining Workshops (December 10, 2012): 370–377. doi:10.1109/ICDMW.2012.117
  • Kamiran, Faisal, Indrė Žliobaitė, and Toon Calders. “Quantifying Explainable Discrimination and Removing Illegal Discrimination in Automated Decision Making.” Knowledge and Information Systems 35, no. 3 (November 18, 2012): 613–44. doi:10.1007/s10115-012-0584-8
  • Kamiran, Faisal, Toon Calders, and Mykola Pechenizkiy. “Discrimination Aware Decision Tree Learning.” 2010 IEEE 10th International Conference on Data Mining (December 13-17, 2010): 869–874. doi:10.1109/ICDM.2010.50
  • Kamishima, Toshihiro, Shotaro Akaho, and Jun Sakuma. “Fairness-Aware Learning Through Regularization Approach.” 2011 IEEE 11th International Conference on Data Mining Workshops (December 11, 2011): 643–650. doi:10.1109/ICDMW.2011.83
  • Kamishima, Toshihiro, Shotaro Akaho, Hideki Asoh, and Jun Sakuma. “Considerations on Fairness-Aware Data Mining." 2012 IEEE 12th International Conference on Data Mining Workshops. (December 10, 2012): 378–385. doi:10.1109/ICDMW.2012.101
  • Kamishima, Toshihiro, Shotaro Akaho, Hideki Asoh, and Jun Sakuma. “Fairness-Aware Classifier with Prejudice Remover Regularizer.” 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. (September 24-28, 2012): 35–50. doi:10.1007/978-3-642-33486-3_3
  • Kamishima, Toshihiro, Shotaro Akaho, Hideki Asoh, and Jun Sakuma. “The Independence of Fairness-Aware Classifiers." 2013 IEEE 13th International Conference on Data Mining Workshops. (December 7-10, 2013): 849–58. doi:10.1109/ICDMW.2013.133
  • Letham, Benjamin, Cynthia Rudin, Tyler McCormick and David Madigan. "Building Interpretable Classifiers with Rules using Bayesian Analysis: Building a Better Stroke Prediction Model." (August 2013). http://web.mit.edu/rudin/www/LethamRuMcMa14.pdf
  • Lowd, Daniel, and Christopher Meek. “Adversarial Learning,” 11th ACM SIGKDD International Conference on Knowledge Discovery in Data Mining. (August 21, 2005): 641-647. doi:10.1145/1081870.1081950
  • Luong, Binh Thanh, Salvatore Ruggieri, and Franco Turini. “K-NN as an Implementation of Situation Testing for Discrimination Discovery and Prevention.” 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (July 21, 2011): 502–510. doi:10.1145/2020408.2020488
  • Mancuhan, Koray, and Chris Clifton. “Combating Discrimination Using Bayesian Networks.” Artificial Intelligence and Law 22, no. 2 (February 17, 2014): 211–238. doi:10.1007/s10506-014-9156-4
  • Mancuhan, Koray, and Chris Clifton. “Discriminatory Decision Policy Aware Classification." 2012 IEEE 12th International Conference on Data Mining Workshops. (December 10, 2012): 386–393. doi:10.1109/ICDMW.2012.96
  • Martens, David, and Bart Baesens, “Building Acceptable Classification Models.” Annals of Information Systems 8 (2010): 53-74. doi:10.1007/978-1-4419-1280-0_3
  • Martens, David, and Foster Provost, “Explaining Data-Driven Document Classifications,” MIS Quarterly 38, no. 1 (March 2014): 73–99. http://misq.org/explaining-data-driven-document-classifications.html
  • Martens, David, Jan Vanthienen, Wouter Verbeke, and Bart Baesens. "Performance of Classification Models from a User Perspective." Decision Support Systems 51, no. 4 (November 2011): 782–793. doi:10.1016/j.dss.2011.01.01
  • Mascetti, Sergio, Annarita Ricci, and Salvatore Ruggieri. “Introduction to Special Issue on Computational Methods for Enforcing Privacy and Fairness in the Knowledge Society.” Artificial Intelligence and Law 22, no. 2 (February 11, 2014): 109–11. doi:10.1007/s10506-014-9153-7
  • Moritz Hardt, A Study of Privacy and Fairness in Sensitive Data Analysis, PhD Thesis, Princeton University (2011) http://arks.princeton.edu/ark:/88435/dsp01vq27zn422
  • Pedreschi, Dino, Salvatore Ruggieri, and Franco Turini. “A Study of Top-K Measures for Discrimination Discovery.” 2012 Proceedings of the 27th Annual ACM Symposium on Applied Computing. (March 26, 2012) 126–131. doi:10.1145/2245276.2245303
  • Pedreschi, Dino, Salvatore Ruggieri, and Franco Turini. “Measuring Discrimination in Socially-Sensitive Decision Records.” Proceedings of the 2009 SIAM International Conference on Data Mining. (2009): 581-592. doi:10.1137/1.9781611972795.50
  • Pedreschi, Dino, Salvatore Ruggieri, and Franco Turini. “Discrimination-Aware Data Mining.” 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (July 24, 2008): 560-568. doi:10.1145/1401890.1401959
  • Pope, Devin G, and Justin R Sydnor. “Implementing Anti-Discrimination Policies in Statistical Profiling Models.” American Economic Journal: Economic Policy 3, no. 3 (August 2011): 206–31. doi:10.1257/pol.3.3.206
  • Romei, Andrea, and Salvatore Ruggieri. “A Multidisciplinary Survey on Discrimination Analysis.” The Knowledge Engineering Review 29, no. 5 (April 3, 2013): 1–57. doi:10.1017/S0269888913000039
  • Romei, Andrea, Salvatore Ruggieri, and Franco Turini. “Discovering Gender Discrimination in Project Funding." 2012 IEEE 12th International Conference on Data Mining Workshops. (December 10, 2012): 394–401. doi:10.1109/ICDMW.2012.39
  • Romei, Andrea, Salvatore Ruggieri, and Franco Turini. “Discrimination Discovery in Scientific Project Evaluation: A Case Study.” Expert Systems with Applications 40, no. 15 (November 2013): 6064–79. doi:10.1016/j.eswa.2013.05.016
  • Ruggieri, Salvatore, Dino Pedreschi, and Franco Turini. “Data Mining for Discrimination Discovery.” ACM Transactions on Knowledge Discovery From Data 4, no. 2 (May 1, 2010): 1–40. doi:10.1145/1754428.1754432
  • Ruggieri, Salvatore, Dino Pedreschi, and Franco Turini. “DCUBE: Discrimination Discovery in Databases." Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data (June 6, 2010): 1127–1130. doi:10.1145/1807167.1807298
  • Ruggieri, Salvatore, Dino Pedreschi, and Franco Turini. “Integrating Induction and Deduction for Finding Evidence of Discrimination.” Artificial Intelligence and Law 18, no. 1 (June 5, 2010): 1–43. doi:10.1007/s10506-010-9089-5
  • Ruggieri, Salvatore, Hajian, Sara, Faisal Kamiran, and Xiangliang Zhang. “Anti-discrimination Analysis Using Privacy Attack Strategies.” 2014 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2014): 694-710. doi:10.1007/978-3-662-44851-9_44
  • Ruggieri, Salvatore. “Data Anonymity Meets Non-Discrimination.” 2013 IEEE 13th International Conference on Data Mining Workshops (December 7-10, 2013): 875–882. doi:10.1109/ICDMW.2013.56
  • Sinha, Rashmi, and Kirsten Swearingen. “The Role of Transparency in Recommender Systems.” CHI '02 Extended Abstracts on Human Factors in Computing Systems. (April 20, 2002): 830-831. doi:10.1145/506443.506619.
  • Ustun, Berk, and Cynthia Rudin. "Methods and Models for Interpretable Linear Classification" (October 1, 2014). arXiv:1405.4047
  • Zemel, Rich, Yu Wu, Kevin Swersky, Toni Pitassi, and Cynthia Dwork. “Learning Fair Representations.” 30th International Conference on Machine Learning (June 16-21, 2013) http://jmlr.org/proceedings/papers/v28/zemel13.html
  • Žliobaitė, Indre, Faisal Kamiran, and Toon Calders. “Handling Conditional Discrimination." 2011 IEEE 11th International Conference on Data Mining. (December 11-14, 2011): 992–1001. doi:10.1109/ICDM.2011.72