bibliography.bib

@inproceedings{amershi2015modeltracker,
  	title={Modeltracker: {R}edesigning {P}erformance {A}nalysis {T}ools for {M}achine {L}earning},
  	author={Amershi, Saleema and Chickering, Max and Drucker, Steven M and Lee, Bongshin and Simard, Patrice and Suh, Jina},
  	booktitle={Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems},
  	pages={337--346},
  	year={2015},
  	organization={ACM},
  	note={URL: \url{https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/amershi.CHI2015.ModelTracker.pdf}}}

@inproceedings{agrawal2000privacy,
  	title={Privacy-{P}reserving {D}ata {M}ining},
  	author={Agrawal, Rakesh and Srikant, Ramakrishnan},
  	booktitle={ACM Sigmod Record},
  	volume={29},
  	number={2},
  	pages={439--450},
  	year={2000},
  	organization={ACM},
  	note={URL: \url{http://alme1.almaden.ibm.com/cs/projects/iis/hdb/Publications/papers/sigmod00_privacy.pdf}}}

@article{dt_surrogate2,
	title={Interpreting {B}lackbox {M}odels via {M}odel {E}xtraction},
	author={Osbert Bastani and Carolyn Kim and Hamsa Bastani},
	journal={arXiv preprint arXiv:1705.08504},
	note={URL: \url{https://arxiv.org/pdf/1705.08504.pdf}},
	year={2017}}

@article{security_of_ml,
  	title={The {S}ecurity of {M}achine {L}earning},
 	author={Barreno, Marco and Nelson, Blaine and Joseph, Anthony D and Tygar, J Doug},
  	journal={Machine Learning},
  	volume={81},
  	number={2},
  	pages={121--148},
  	year={2010},
  	publisher={Springer},
	note={URL: \url{https://people.eecs.berkeley.edu/~adj/publications/paper-files/SecML-MLJ2010.pdf}}}

@article{calders2010three,
  	title={Three {N}a\"{i}ve {B}ayes {A}pproaches for {D}iscrimination-free {C}lassification},
  	author={Calders, Toon and Verwer, Sicco},
  	journal={Data Mining and Knowledge Discovery},
  	volume={21},
  	number={2},
  	pages={277--292},
  	year={2010},
  	publisher={Springer},
	note={URL: \url{https://link.springer.com/content/pdf/10.1007/s10618-010-0190-x.pdf}}}

@inproceedings{calmon2017optimized,
  	title={Optimized {P}re-processing for {D}iscrimination {P}revention},
  	author={Calmon, Flavio and Wei, Dennis and Vinzamuri, Bhanukiran and Ramamurthy, Karthikeyan Natesan and Varshney, Kush R.},
  	booktitle={Advances in Neural Information Processing Systems},
  	pages={3992--4001},
  	year={2017},
	note={URL: \url{http://papers.nips.cc/paper/6988-optimized-pre-processing-for-discrimination-prevention.pdf}}}

@inproceedings{dwork2012fairness,
	title={Fairness {T}hrough {A}wareness},
  	author={Dwork, Cynthia and Hardt, Moritz and Pitassi, Toniann and Reingold, Omer and Zemel, Richard},
  	booktitle={Proceedings of the 3rd Innovations in Theoretical Computer Science Conference},
  	pages={214--226},
  	year={2012},
  	organization={ACM}, 
	note={URL: \url{https://arxiv.org/pdf/1104.3913.pdf}}}

@inproceedings{feldman2015certifying,
  	title={Certifying and {R}emoving {D}isparate {I}mpact},
  	author={Feldman, Michael and Friedler, Sorelle A. and Moeller, John and Scheidegger, Carlos and Venkatasubramanian, Suresh},
 	 booktitle={Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  	pages={259--268},
  	year={2015},
  	organization={ACM},
	note={URL: \url{https://arxiv.org/pdf/1412.3756.pdf}}}

@inproceedings{hcml,
	title={Human-{C}entred {M}achine {L}earning},
	author={Gillies, Marco and Fiebrink, Rebecca and Tanaka, Atau and Garcia, J{\'e}r{\'e}mie and Bevilacqua, Fr{\'e}d{\'e}ric and Heloir, Alexis and Nunnari, Fabrizio and Mackay, Wendy and Amershi, Saleema and Lee, Bongshin and others},
	booktitle={Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems},
	pages={3558--3565},
	year={2016},
	organization={ACM},
	note={URL: \url{http://research.gold.ac.uk/16112/1/HCML2016.pdf}}}	
	
@inproceedings{hardt2016equality,
  	title={Equality of {O}pportunity in {S}upervised {L}earning},
  	author={Hardt, Moritz and Price, Eric and Srebro, Nati and others},
  	booktitle={Advances in neural information processing systems},
  	pages={3315--3323},
  	year={2016},
	note={URL: \url{http://papers.nips.cc/paper/6374-equality-of-opportunity-in-supervised-learning.pdf}}}

@article{lime-sup,
	title={Locally {I}nterpretable {M}odels and {E}ffects {B}ased on {S}upervised {P}artitioning (LIME-SUP)},
	author={Linwei Hu and Jie Chen and Vijayan N. Nair and Agus Sudjianto},
	journal={arXiv preprint arXiv:1806.00663},
	note={URL: \url{https://arxiv.org/ftp/arxiv/papers/1806/1806.00663.pdf}},
	year={2018}}

@article{kamiran2012data,
 	title={Data {P}reprocessing {T}echniques for {C}lassification {W}ithout {D}iscrimination},
  	author={Kamiran, Faisal and Calders, Toon},
  	journal={Knowledge and Information Systems},
  	volume={33},
  	number={1},
  	pages={1--33},
  	year={2012},
  	publisher={Springer},
	note={URL: \url{https://link.springer.com/content/pdf/10.1007/s10115-011-0463-8.pdf}}}

@inproceedings{kamiran2012decision,
	title={Decision {T}heory for {D}iscrimination-aware {C}lassification},
	author={Kamiran, Faisal and Karim, Asim and Zhang, Xiangliang},
	booktitle={2012 IEEE 12th International Conference on Data Mining},
	pages={924--929},
	year={2012},
	organization={IEEE}, 
	note={URL: \url{http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.3030&rep=rep1&type=pdf}}}

@inproceedings{kanter2016label,
  	title={Label, {S}egment, {F}eaturize: {A} {C}ross {D}omain {F}ramework for {P}rediction {E}ngineering},
  	author={Kanter, James Max and Gillespie, Owen and Veeramachaneni, Kalyan},
  	booktitle={Data Science and Advanced Analytics (DSAA), 2016 IEEE International Conference on},
  	pages={430--439},
  	year={2016},
  	organization={IEEE},
	note={URL: \url{http://www.jmaxkanter.com/static/papers/DSAA_LSF_2016.pdf}}}

@inproceedings{kanter2015deep,
  	title={Deep {F}eature {S}ynthesis: Towards {A}utomating {D}ata {S}cience {E}ndeavors},
  	author={Kanter, James Max and Veeramachaneni, Kalyan},
  	booktitle={Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on},
  	pages={1--10},
  	year={2015},
  	organization={IEEE},
	note={URL: \url{https://groups.csail.mit.edu/EVO-DesignOpt/groupWebSite/uploads/Site/DSAA_DSM_2015.pdf}}}

@article{keinan2004fair,
  	title={Fair {A}ttribution of {F}unctional {C}ontribution in {A}rtificial and {B}iological {N}etworks},
  	author={Keinan, Alon and Sandbank, Ben and Hilgetag, Claus C and Meilijson, Isaac and Ruppin, Eytan},
  	journal={Neural Computation},
  	volume={16},
  	number={9},
  	pages={1887--1915},
  	year={2004},
  	publisher={MIT Press},
	note={URL: \url{https://bit.ly/35kHrwK}}}

@article{kononenko2010efficient,
  	title={An {E}fficient {E}xplanation of {I}ndividual {C}lassifications {U}sing {G}ame {T}heory},
  	author={Kononenko, Igor and others},
  	journal={Journal of Machine Learning Research},
  	volume={11},
  	number={Jan},
  	pages={1--18},
  	year={2010},
        note={URL: \url{http://www.jmlr.org/papers/volume11/strumbelj10a/strumbelj10a.pdf}}}

@inproceedings{t_closeness, 
	title={\textit{t}-{C}loseness: {P}rivacy {B}eyond \textit{k}-{A}nonymity and \textit{l}-diversity},
	author={Ninghui Li and Tiancheng Li and Suresh Venkatasubramanian},
  	booktitle={2007 IEEE 23rd International Conference on Data Engineering},
	pages={106--115},
	year={2007},
	organization={IEEE}, 
	note={URL:\url{http://www.utdallas.edu/~mxk055100/courses/privacy08f_files/tcloseness.pdf}}}

@inproceedings{ga2m,
	title={Accurate {I}ntelligible {M}odels with {P}airwise {I}nteractions},
	author={Lou, Yin and Caruana, Rich and Gehrke, Johannes and Hooker, Giles},
	booktitle={Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	pages={623--631},
	year={2013},
	organization={ACM},
	note={URL: \url{http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.352.7682&rep=rep1&type=pdf}}}

@incollection{tree_shap,
	title={Consistent {I}ndividualized {F}eature {A}ttribution for {T}ree {E}nsembles},
	author={Lundberg, Scott M. and Erion, Gabriel G. and Lee, Su-In},
	booktitle={Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017)},
	pages={15--21},
	editor={Been Kim and Dmitry M. Malioutov and Kush R. Varshney and Adrian Weller},
	year={2017},
	note={URL: \url{https://openreview.net/pdf?id=ByTKSo-m-}},
	publisher={ICML WHI 2017},
	organization={ICML}}

@article{lipovetsky2001analysis,
  	title={Analysis of {R}egression in {G}ame {T}heory {A}pproach},
  	author={Lipovetsky, Stan and Conklin, Michael},
  	journal={Applied Stochastic Models in Business and Industry},
  	volume={17},
  	number={4},
  	pages={319--330},
  	year={2001},
  	publisher={Wiley Online Library}}

@incollection{shapley,
	title={A {U}nified {A}pproach to {I}nterpreting {M}odel {P}redictions},
	author={Lundberg, Scott M and Lee, Su-In},
	booktitle={Advances in Neural Information Processing Systems 30},
	editor={I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
	pages={4765--4774},
	year={2017},
	publisher={Curran Associates, Inc.},
	note={URL: \url{http://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf}}}
	
@inproceedings{model_cards,
	title={Model {C}ards for {M}odel {R}eporting},
 	author={Mitchell, Margaret and Wu, Simone and Zaldivar, Andrew and Barnes, Parker and Vasserman, Lucy and Hutchinson, Ben and Spitzer, Elena and Raji, Inioluwa Deborah and Gebru, Timnit},
 	booktitle={Proceedings of the Conference on Fairness, Accountability, and Transparency},
 	pages={220--229},
 	year={2019},
 	organization={ACM},
	note={URL: \url{https://arxiv.org/pdf/1810.03993.pdf}}}

@inproceedings{niculescu2005predicting,
	title={Predicting {G}ood {P}robabilities with {S}upervised {L}earning},
	author={Niculescu-Mizil, Alexandru and Caruana, Rich},
	booktitle={Proceedings of the 22nd international conference on Machine learning},
	pages={625--632},
	year={2005},
	organization={ACM},
	note={URL: \url{https://bit.ly/3434dZG}}}

@article{pate,
  	title={Scalable {P}rivate {L}earning with {P}{A}{T}{E}},
  	author={Papernot, Nicolas and Song, Shuang and Mironov, Ilya and Raghunathan, Ananth and Talwar, Kunal and Erlingsson, {\'U}lfar},
  	journal={arXiv preprint arXiv:1802.08908},
  	year={2018},
	note={URL: \url{https://arxiv.org/pdf/1802.08908.pdf}}}
	
@inproceedings{papernot2018marauder,
  	title={A {M}arauder's {M}ap of {S}ecurity and {P}rivacy in {M}achine {L}earning: {A}n overview of current and future research directions for making machine learning secure and private},
  	author={Papernot, Nicolas},
  	booktitle={Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security},
  	year={2018},
  	organization={ACM},
	note={URL: \url{https://arxiv.org/pdf/1811.01134.pdf}}}

@article{pearl2011bayesian,
	title={{B}ayesian {N}etworks},
	author={Pearl, Judea},
	year={2011}, 
	note={URL: \url{https://escholarship.org/uc/item/53n4f34m}}}

@book{pearl2018book,
	title={The {B}ook of {W}hy: the {N}ew {S}cience of {C}ause and {E}ffect},
	author={Pearl, Judea and Mackenzie, Dana},
	year={2018},
	publisher={Basic Books},
	note={URL: \url{http://cdar.berkeley.edu/wp-content/uploads/2017/04/Lisa-Goldberg-reviews-The-Book-of-Why.pdf}}}

@inproceedings{lime,
	title={Why {S}hould {I} {T}rust {Y}ou?: {E}xplaining the {P}redictions of {A}ny {C}lassifier},
	author={Marco Tulio Ribeiro and Sameer Singh and Carlos Guestrin},
	booktitle={Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
	pages={1135--1144},
	year={2016},
	note={URL: \url{http://www.kdd.org/kdd2016/papers/files/rfp0573-ribeiroA.pdf}},
	organization={ACM}}

@article{please_stop,
 	title={{P}lease {S}top {E}xplaining {B}lack {B}ox {M}odels for {H}igh {S}takes {D}ecisions},
 	author={Rudin, Cynthia},
  	note={URL: \url{https://arxiv.org/pdf/1811.10154.pdf}},
  	journal={arXiv preprint arXiv:1811.10154},
  	year={2018}}

@article{wf_xnn,
 	title={Explainable {N}eural {N}etworks {B}ased on {A}dditive {I}ndex {M}odels},
  	author={Vaughan, Joel and Sudjianto, Agus and Brahimi, Erind and Chen, Jie and Nair, Vijayan N},
  	journal={arXiv preprint arXiv:1806.01933},
  	note={URL: \url{https://arxiv.org/pdf/1806.01933.pdf}},
  	year={2018}}

@article{salvatier2016probabilistic,
	title={Probabilistic {P}rogramming in {P}ython using {P}y{M}{C}{3}},
	author={Salvatier, John and Wiecki, Thomas V and Fonnesbeck, Christopher},
	journal={PeerJ Computer Science},
	volume={2},
	pages={e55},
 	year={2016},
	publisher={PeerJ Inc.}, 
 	note={URL: \url{http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.800.6956&rep=rep1&type=pdf}}}

@article{shapley1953value,
  	title={A {V}alue for {N}-{P}erson {G}ames},
  	author={Shapley, Lloyd S},
  	journal={Contributions to the Theory of Games},
  	volume={2},
  	number={28},
  	pages={307--317},
  	year={1953},
	note={URL: \url{http://www.library.fa.ru/files/Roth2.pdf\#page=39}}}

@book{shapley1988shapley,
  	title={The Shapley Value: Essays in Honor of Lloyd S. Shapley},
  	author={Shapley, Lloyd S and Roth, Alvin E and others},
  	year={1988},
  	publisher={Cambridge University Press},
	note={URL: \url{http://www.library.fa.ru/files/Roth2.pdf}}}

@inproceedings{vartak2016m,
  	title={Model {D}{B}: {A} {S}ystem for {M}achine {L}earning {M}odel {M}anagement},
  	author={Vartak, Manasi and Subramanyam, Harihar and Lee, Wei-En and Viswanathan, Srinidhi and Husnoo, Saadiyah and Madden, Samuel and Zaharia, Matei},
  	booktitle={Proceedings of the Workshop on Human-In-the-Loop Data Analytics},
  	pages={14},
  	year={2016},
  	organization={ACM},
        note={URL: \url{https://www-cs.stanford.edu/~matei/papers/2016/hilda_modeldb.pdf}}}

@article{wachter2017counterfactual,
	title={Counterfactual {E}xplanations without {O}pening the {B}lack {B}ox: {A}utomated {D}ecisions and the {G}{P}{D}{R}},
	author={Wachter, Sandra and Mittelstadt, Brent and Russell, Chris},
	journal={Harv. JL \& Tech.},
	volume={31},
	pages={841},
	year={2017},
	publisher={HeinOnline},
	url={URL: \url{https://arxiv.org/pdf/1711.00399.pdf}}}

@book{wilkinson2006grammar,
  	title={The {G}rammar of {G}raphics},
  	author={Wilkinson, Leland},
  	year={2006}}

@article{wilkinson2018visualizing,
  	title={Visualizing Big Data Outliers through Distributed Aggregation},
  	author={Wilkinson, Leland},
  	journal={IEEE Transactions on Visualization \& Computer Graphics},
  	year={2018},
  	publisher={IEEE},
	note={URL: \url{https://www.cs.uic.edu/~wilkinson/Publications/outliers.pdf}}}

@inproceedings{sbrl,
  	title={Scalable {B}ayesian {R}ule {L}ists},
  	author={Hongyu Yang and Cynthia Rudin and Margo Seltzer},
  	booktitle={Proceedings of the 34th International Conference on Machine Learning {(ICML)}},
  	note={URL: \url{https://arxiv.org/pdf/1602.08610.pdf}},
  	year={2017}}

@inproceedings{lfr,
	title={Learning {F}air {R}epresentations},
  	author={Zemel, Rich and Wu, Yu and Swersky, Kevin and Pitassi, Toni and Dwork, Cynthia},
  	booktitle={International Conference on Machine Learning},
  	pages={325--333},
  	year={2013},
	note={URL: \url{http://proceedings.mlr.press/v28/zemel13.pdf}}}

@inproceedings{zhang2018mitigating,
	title={Mitigating {U}nwanted {B}iases with {A}dversarial {L}earning},
	author={Zhang, Brian Hu and Lemoine, Blake and Mitchell, Margaret},
	booktitle={Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society},
	pages={335--340},
	year={2018},
	organization={ACM},
	note={URL: \url{https://bit.ly/2KAV1nG}}}

@article{ji2014differential,
	title={Differential {P}rivacy and {M}achine {L}earning: {A} {S}urvey and {R}eview},
	author={Ji, Zhanglong and Lipton, Zachary C. and Elkan, Charles},
	journal={arXiv preprint arXiv:1412.7584},
	year={2014}, 
	note={URL: \url{https://arxiv.org/pdf/1412.7584.pdf}}}
	
@article{zou2006sparse,
	title={Sparse {P}rincipal {C}omponent {A}nalysis},
	author={Zou, Hui and Hastie, Trevor and Tibshirani, Robert},
	journal={Journal of computational and graphical statistics},
	volume={15},
	number={2},
	pages={265--286},
	year={2006},
	publisher={Taylor \& Francis},
	note={URL: \url{https://www.cc.gatech.edu/home/isbell/classes/reading/papers/sparsepc.pdf}}}