first draft of lecture 4

tex/lecture_4.bib

@@ -0,0 +1,74 @@
+@article{angwin16,
+	Author = {Julia Angwin and Jeff Larson and Surya Mattu and Lauren Kirchner},
+	Journal = {ProPublica},
+	Title = {{M}achine {B}ias: {T}here's {S}oftware {U}sed {A}cross the {C}ountry to {P}redict {F}uture {C}riminals. {A}nd {I}t's {B}iased {A}gainst {B}lacks.},
+	note = {URL: \url{https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing}},
+	Year = {2016}}
+
+@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{flores2016false,
+	title={False {P}ositives, {F}alse {N}egatives, and {F}alse {A}nalyses: {A} {R}ejoinder to {M}achine {B}ias: {T}here's {S}oftware {U}sed across the {C}ountry to {P}redict {F}uture {C}riminals. {A}nd {I}t's {B}iased against {B}lacks},
+	author={Flores, Anthony W. and Bechtel, Kristin and Lowenkamp, Christopher T.},
+	journal={Fed. Probation},
+	volume={80},
+	pages={38},
+	year={2016},
+	publisher={HeinOnline}, 
+	note={URL: \url{https://bit.ly/2Gesf9Y}}}		
+
+@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{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{membership_inference,
+ 	title={Membership {I}nference {A}ttacks {A}gainst {M}achine {L}earning {M}odels},
+ 	author={Shokri, Reza and Stronati, Marco and Song, Congzheng and Shmatikov, Vitaly},
+ 	booktitle={2017 IEEE Symposium on Security and Privacy (SP)},
+ 	pages={3--18},
+ 	year={2017},
+ 	organization={IEEE}, 
+	note={URL: \url{https://arxiv.org/pdf/1610.05820.pdf}}}	
+	
+@article{shokri2019privacy,
+  	title={Privacy {R}isks of {E}xplaining {M}achine {L}earning {M}odels},
+  	author={Shokri, Reza and Strobel, Martin and Zick, Yair},
+  	journal={arXiv preprint arXiv:1907.00164},
+  	year={2019}, 
+	note={URL: \url{https://arxiv.org/pdf/1907.00164.pdf}}}
+
+@inproceedings{model_stealing,
+	title={Stealing {M}achine {L}earning {M}odels via {P}rediction {A}{P}{I}s},
+	author={Tram{\`e}r, Florian and Zhang, Fan and Juels, Ari and Reiter, Michael K and Ristenpart, Thomas},
+	booktitle={25th $\{$USENIX$\}$ Security Symposium ($\{$USENIX$\}$ Security 16)},
+	pages={601--618},
+	year={2016},
+	note={URL: \url{https://www.usenix.org/system/files/conference/usenixsecurity16/sec16_paper_tramer.pdf}}}
+
+@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}}}