146 lines
8.6 KiB
Markdown
146 lines
8.6 KiB
Markdown
# Paper Suggestions
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### Differential Privacy
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- Frank McSherry and Kunal Talwar.
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[*Mechanism Design via Differential Privacy*](http://kunaltalwar.org/papers/expmech.pdf).
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FOCS 2007.
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- Cynthia Dwork, Moni Naor, Toniann Pitassi, and Guy Rothblum.
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[*Differential Privacy under Continual Observation*](http://www.wisdom.weizmann.ac.il/~naor/PAPERS/continual_observation.pdf).
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STOC 2010.
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- T.-H. Hubert Chan, Elaine Shi, and Dawn Song.
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[*Private and Continual Release of Statistics*](https://eprint.iacr.org/2010/076.pdf).
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ICALP 2010.
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- Moritz Hardt, Katrina Ligett, and Frank McSherry.
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[*A Simple and Practical Algorithm for Differentially Private Data Release*](https://papers.nips.cc/paper/4548-a-simple-and-practical-algorithm-for-differentially-private-data-release.pdf).
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NIPS 2012.
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- Daniel Kifer and Ashwin Machanavajjhala.
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[*A Rigorous and Customizable Framework for Privacy*](http://www.cse.psu.edu/~duk17/papers/pufferfish_preprint.pdf).
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PODS 2012.
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- Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova.
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[*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf).
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CCS 2014.
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- Cynthia Dwork, Moni Naor, Omer Reingold, and Guy N. Rothblum.
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[*Pure Differential Privacy for Rectangle Queries via Private Partitions*](https://guyrothblum.files.wordpress.com/2017/06/dnrr15.pdf).
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ASIACRYPT 2015.
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- Matthew Joseph, Aaron Roth, Jonathan Ullman, and Bo Waggoner.
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[*Local Differential Privacy for Evolving Data*](https://arxiv.org/abs/1802.07128).
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### Adversarial Machine Learning
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- Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus.
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[*Intriguing Properties of Neural Networks*](https://arxiv.org/pdf/1312.6199.pdf).
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ICLR 2014.
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- Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy.
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[*Explaining and Harnessing Adversarial Examples*](https://arxiv.org/abs/1412.6572).
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ICLR 2015.
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- Nicholas Carlini and David Wagner.
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[*Towards Evaluating the Robustness of Neural Networks*](https://arxiv.org/pdf/1608.04644.pdf).
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S&P 2017.
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- Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song.
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[*Robust Physical-World Attacks on Deep Learning Models*](https://arxiv.org/pdf/1707.08945.pdf).
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CVPR 2018.
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- Nicholas Carlini and David Wagner.
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[*Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods*](https://arxiv.org/pdf/1705.07263.pdf).
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AISec 2017.
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- Jacob Steinhardt, Pang Wei Koh, and Percy Liang.
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[*Certified Defenses for Data Poisoning Attacks*](https://arxiv.org/pdf/1706.03691.pdf).
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NIPS 2017.
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- Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu.
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[*Towards Deep Learning Models Resistant to Adversarial Attacks*](https://arxiv.org/pdf/1706.06083.pdf).
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ICLR 2018.
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### Applied Cryptography
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- Benjamin Braun, Ariel J. Feldman, Zuocheng Ren, Srinath Setty, Andrew J. Blumberg, and Michael Walfish.
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[*Verifying Computations with State*](https://eprint.iacr.org/2013/356.pdf).
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SOSP 2013.
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- Bryan Parno, Jon Howell, Craig Gentry, and Mariana Raykova.
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[*Pinocchio: Nearly Practical Verifiable Computation*](https://eprint.iacr.org/2013/279.pdf).
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S&P 2013.
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- Aseem Rastogi, Matthew A. Hammer and Michael Hicks.
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[*Wysteria: A Programming Language for Generic, Mixed-Mode Multiparty Computations*](http://www.cs.umd.edu/~aseem/wysteria-tr.pdf).
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S&P 2014.
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- Shai Halevi and Victor Shoup.
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[*Algorithms in HElib*](https://www.shoup.net/papers/helib.pdf).
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CRYPTO 2014.
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- Shai Halevi and Victor Shoup.
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[*Bootstrapping for HElib*](https://www.shoup.net/papers/boot.pdf).
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EUROCRYPT 2015.
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- Léo Ducas and Daniele Micciancio.
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[*FHEW: Bootstrapping Homomorphic Encryption in Less than a Second*](https://eprint.iacr.org/2014/816.pdf).
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EUROCRYPT 2015.
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- Peter Kairouz, Sewoong Oh, and Pramod Viswanath.
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[*Secure Multi-party Differential Privacy*](https://papers.nips.cc/paper/6004-secure-multi-party-differential-privacy.pdf).
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NIPS 2015.
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- Arjun Narayan, Ariel Feldman, Antonis Papadimitriou, and Andreas Haeberlen.
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[*Verifiable Differential Privacy*](https://www.cis.upenn.edu/~ahae/papers/verdp-eurosys2015.pdf).
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EUROSYS 2015.
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### Algorithmic Fairness
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- Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Rich Zemel.
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[*Fairness through Awarness*](https://arxiv.org/pdf/1104.3913).
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ITCS 2012.
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- Moritz Hardt, Eric Price, and Nathan Srebro.
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[*Equality of Opportunity in Supervised Learning*](https://arxiv.org/pdf/1610.02413).
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NIPS 2016.
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- Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai.
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[*Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings*](https://arxiv.org/pdf/1607.06520).
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NIPS 2016.
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- Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan.
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[*Inherent Trade-Offs in the Fair Determination of Risk Scores*](https://arxiv.org/pdf/1609.05807).
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ITCS 2017.
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- Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, and Guy N. Rothblum.
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[*Multicalibration: Calibration for the (Computationally-Identifiable) Masses*](https://arxiv.org/pdf/1711.08513.pdf).
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ICML 2018.
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- Michael Kearns, Seth Neel, Aaron Roth, and Zhiwei Steven Wu.
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[*Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness*](https://arxiv.org/pdf/1711.05144).
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ICML 2018.
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- Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, and Hanna Wallach.
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[*A Reductions Approach to Fair Classification*](https://arxiv.org/pdf/1803.02453).
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ICML 2019.
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- Ben Hutchinson and Margaret Mitchell.
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[*50 Years of Test (Un)fairness: Lessons for Machine Learning*](https://arxiv.org/pdf/1811.10104).
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FAT\* 2019.
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### Programming Languages and Verification
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- Martín Abadi and Andrew D. Gordon.
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[*A Calculus for Cryptographic Protocols: The Spi Calculus*](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/11/ic99spi.pdf).
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Information and Computation, 1999.
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- Frank McSherry.
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[*Privacy Integrated Queries*](http://citeseerx.ist.psu.edu/viewdoc/download?rep=rep1&type=pdf&doi=10.1.1.211.4503).
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SIGMOD 2009.
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- Jason Reed and Benjamin C. Pierce.
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[*Distance Makes the Types Grow Stronger: A Calculus for Differential Privacy*](https://www.cis.upenn.edu/~bcpierce/papers/dp.pdf).
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ICFP 2010.
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- Daniel B. Griffin, Amit Levy, Deian Stefan, David Terei, David Mazières, John C. Mitchell, and Alejandro Russo.
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[*Hails: Protecting Data Privacy in Untrusted Web Applications*](https://www.usenix.org/system/files/conference/osdi12/osdi12-final-35.pdf).
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OSDI 2012.
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- Danfeng Zhang, Aslan Askarov, and Andrew C. Myers.
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[*Language-Based Control and Mitigation of Timing Channels*](https://www.cs.cornell.edu/andru/papers/pltiming-pldi12.pdf).
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PLDI 2012.
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- Andrew Miller, Michael Hicks, Jonathan Katz, and Elaine Shi.
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[*Authenticated Data Structures, Generically*](https://www.cs.umd.edu/~mwh/papers/gpads.pdf).
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POPL 2014.
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- Gilles Barthe, Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth, and Pierre-Yves Strub.
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[*Higher-Order Approximate Relational Refinement Types for Mechanism Design and Differential Privacy*](https://arxiv.org/pdf/1407.6845.pdf).
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POPL 2015.
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- Samee Zahur and David Evans.
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[*Obliv-C: A Language for Extensible Data-Oblivious Computation*](https://eprint.iacr.org/2015/1153.pdf).
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IACR 2015.
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- Chang Liu, Xiao Shaun Wang, Kartik Nayak, Yan Huang, and Elaine Shi.
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[*ObliVM: A Programming Framework for Secure Computation*](http://www.cs.umd.edu/~elaine/docs/oblivm.pdf).
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S&P 2015.
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- Andrew Ferraiuolo, Rui Xu, Danfeng Zhang, Andrew C. Myers, and G. Edward Suh.
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[*Verification of a Practical Hardware Security Architecture Through Static Information Flow Analysis*](http://www.cse.psu.edu/~dbz5017/pub/asplos17.pdf).
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ASPLOS 2017.
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# Supplemental Material
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- Cynthia Dwork and Aaron Roth.
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[*Algorithmic Foundations of Data Privacy*](https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf).
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- Gilles Barthe, Marco Gaboardi, Justin Hsu, and Benjamin C. Pierce.
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[*Programming Language Techniques for Differential Privacy*](https://dl.acm.org/citation.cfm?id=2893591&dl=ACM&coll=DL).
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- Michael Walfish and Andrew J. Blumberg.
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[*Verifying Computations without Reexecuting Them*](http://delivery.acm.org/10.1145/2650000/2641562/p74-walfish.pdf?ip=24.59.48.254&id=2641562&acc=OA&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E757E42EE4C319386&__acm__=1533144327_267b96b7bd723efc52072f0f79f6720d).
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- Véronique Cortier, Steve Kremer, and Bogdan Warinschi.
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[*A Survey of Symbolic Methods in Computational Analysis of Cryptographic Systems*](https://hal.inria.fr/inria-00379776/document).
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- Dan Boneh and Victor Shoup.
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[*A Graduate Course in Applied Cryptography*](https://crypto.stanford.edu/~dabo/cryptobook/BonehShoup_0_4.pdf).
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