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Differential privacy is an information theoretic constraint on algorithms and code.
Differentially private objective perturbation: Beyond smoothness and convexity
Neel, S., Roth, A., Vietri, G., and Wu, Z. S. (2019a) · 1909
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Privacy odometers and filters: Pay-as-you-go composition
Rogers, R., Roth, A., Ullman, J., and Vadhan, S. (2016) · 1929
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A test of goodness-of-fit
Anderson, T. and Darling, D. (1954) · 1954
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Transforming out timing leaks
Agat, J. (2000) · 2000
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Revealing information while preserving privacy
Dinur, I. and Nissim, K. (2003) · 2003
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Evaluating the anderson-darling distribution
Marsaglia, G. and Marsaglia, J. (2004) · 2004
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The program counter security model: automatic detection and removal of control-flow side channel attacks
Molnar, D., Piotrowski, M., Schultz, D., and Wagner, D. (2006) · 2006
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Mechanism design via differential privacy
McSherry, F. and Talwar, K. (2007) · 2007
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Universally utility-maximizing privacy mechanisms
Ghosh, A., Roughgarden, T., and Sundararajan, M. (2009) · 2009
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Privacy integrated queries: An extensible platform for privacy-preserving data analysis
McSherry, F. D. (2009) · 2009
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Predictive black-box mitigation of timing channels
Askarov, A., Zhang, D., and Myers, A. C. (2010) · 2010
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Distance makes the types grow stronger: A calculus for differential privacy
Reed, J. and Pierce, B. C. (2010) · 2010
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Airavat: Security and privacy for MapReduce
Roy, I., Setty, S., Kilzer, A., Shmatikov, V., and Witchel, E. (2010) · 2010
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Differentially private empirical risk minimization
Chaudhuri, K., Monteleoni, C., and Sarwate, A. D. (2011) · 2011
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Differential privacy under fire
Haeberlen, A., Pierce, B. C., and Narayan, A. (2011) · 2011
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Formal verification of differential privacy for interactive systems
Mislove, M., Ouaknine, J., Tschantz, M. C., Kaynar, D., and Datta, A. (2011) · 2011
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Predictive mitigation of timing channels in interactive systems
Zhang, D., Askarov, A., and Myers, A. C. (2011) · 2011
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Probabilistic relational reasoning for differential privacy
Barthe, G., Köpf, B., Olmedo, F., and Zanella Béguelin, S. (2012) · 2012
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Differential privacy with imperfect randomness
Dodis, Y., López-Alt, A., Mironov, I., and Vadhan, S. P. (2012) · 2012
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On significance of the least significant bits for differential privacy
Mironov, I. (2012) · 2012
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Gupt: Privacy preserving data analysis made easy
Mohan, P., Thakurta, A., Shi, E., Song, D., and Culler, D. (2012) · 2012
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Language-based control and mitigation of timing channels
Zhang, D., Askarov, A., and Myers, A. C. (2012) · 2012
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Beyond differential privacy: Composition theorems and relational logic for f-divergences between probabilistic programs
Barthe, G. and Olmedo, F. (2013) · 2013
Cited alongside, same era.
Differential privacy by typing in security protocols
Eigner, F. and Maffei, M. (2013) · 2013
Cited alongside, same era.
Linear dependent types for differential privacy
Gaboardi, M., Haeberlen, A., Hsu, J., Narayan, A., and Pierce, B. C. (2013) · 2013
Cited alongside, same era.
Random differential privacy
Hall, R., Wasserman, L., and Rinaldo, A. (2013) · 2013
Cited alongside, same era.
Private traits and attributes are predictable from digital records of human behavior
Kosinski, M., Stillwell, D., and Graepel, T. (2013) · 2013
Cited alongside, same era.
Proving differential privacy in hoare logic
Barthe, G., Gaboardi, M., Arias, E. J. G., Hsu, J., Kunz, C., and Strub, P. Y. (2014) · 2014
Multi-run side-channel analysis using symbolic execution and max-smt
Pasareanu, C. S., Phan, Q.-S., and Malacaria, P. (2016) · 2016
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Synthesizing coupling proofs of differential privacy
Albarghouthi, A. and Hsu, J. (2017) · 2017
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Decomposition instead of self-composition for proving the absence of timing channels
Antonopoulos, T., Gazzillo, P., Hicks, M., Koskinen, E., Terauchi, T., and Wei, S. (2017) · 2017
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Precise detection of side-channel vulnerabilities using quantitative cartesian hoare logic
Chen, J., Feng, Y., and Dillig, I. (2017) · 2017
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Rényi differential privacy
Mironov, I. (2017) · 2017
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Rényi differential privacy
Mironov, I. (2017) · 2017
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Cited alongside, same era.
The algorithmic foundations of differential privacy
Dwork, C. and Roth, A. (2014) · 2014
Cited alongside, same era.
Dual query: Practical private query release for high dimensional data
Gaboardi, M., Gallego-Arias, E. J., Hsu, J., Roth, A., and Wu, Z. S. (2014) · 2014
Cited alongside, same era.
Differential privacy: An economic method for choosing epsilon
Hsu, J., Gaboardi, M., Haeberlen, A., Khanna, S., Narayan, A., Pierce, B. C., and Roth, A. (2014) · 2014
Cited alongside, same era.
On the’semantics’ of differential privacy: A bayesian formulation
Kasiviswanathan, S. P. and Smith, A. (2014) · 2014
Cited alongside, same era.
Pufferfish: A framework for mathematical privacy definitions
Kifer, D. and Machanavajjhala, A. (2014) · 2014
Cited alongside, same era.
Higher-order approximate relational refinement types for mechanism design and differential privacy
Barthe, G., Gaboardi, M., Arias, E. J. G., Hsu, J., Roth, A., and Strub, P. (2015) · 2015
Cited alongside, same era.
CacheD: Identifying cache-based timing channels in production software
Wang, S., Wang, P., Liu, X., Zhang, D., and Wu, D. (2017) · 2017
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A framework for adaptive differential privacy
Winograd-Cort, D., Haeberlen, A., Roth, A., and Pierce, B. C. (2017) · 2017
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Bolt-on differential privacy for scalable stochastic gradient descent-based analytics
Wu, X., Li, F., Kumar, A., Chaudhuri, K., Jha, S., and Naughton, J. (2017) · 2017
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LightDP: Towards Automating Differential Privacy Proofs
Zhang, D. and Kifer, D. (2017) · 2017
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Dp-finder: Finding differential privacy violations by sampling and optimization
Bichsel, B., Gehr, T., Drachsler-Cohen, D., Tsankov, P., and Vechev, M. (2018) · 2018
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Detecting violations of differential privacy
Ding, Z., Wang, Y., Wang, G., Zhang, D., and Kifer, D. (2018) · 2018
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Property testing for differential privacy
Gilbert, A. and McMillan, A. (2018) · 2018
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Private selection from private candidates
Liu, J. and Talwar, K. (2018) · 2018
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Ektelo: A framework for defining differentially-private computations
Zhang, D., McKenna, R., Kotsogiannis, I., Hay, M., Machanavajjhala, A., and Miklau, G. (2018) · 2018
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Census topdown: Differentially private data, incremental schemas, and consistency with public knowledge
Abowd, J., Ashmead, R., Garfinkel, S., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., and Sexton, W. (2019) · 2019
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An economic analysis of privacy protection and statistical accuracy as social choices
Abowd, J. M. and Schmutte, I. M. (2019) · 2019
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CaSym: Cache aware symbolic execution for side channel detection and mitigation
Brotzman, R., Liu, S., Zhang, D., Tan, G., and Kandemir, M. (2019) · 2019
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Towards practical differentially private convex optimization
Iyengar, R., Near, J. P., Song, D., Thakkar, O., Thakurta, A., and Wang, L. (2019) · 2019
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Fuzzi: A three-level logic for differential privacy
Zhang, H., Roth, E., Haeberlen, A., Pierce, B. C., and Roth, A. (2019) · 2019
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Effective privacy after adjusting for invariants with applications to the 2020 census
Ashmead, R., Kifer, D., Leclerc, P., Machanavajjhala, A., and Sexton, W. (2019) · 2020
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Facebook Privacy-Protected Full URLs Data Set
Messing, S., DeGregorio, C., Hillenbrand, B., King, G., Mahanti, S., Mukerjee, Z., Nayak, C., Persily, N., State, B., and Wilkins, A. (2020) · 2020
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