PrivateLR: Differentially Private Regularized Logistic Regression. PrivateLR implements two differentially private algorithms for estimating L2-regularized logistic regression coefficients. A randomized algorithm F is epsilon-differentially private (C. Dwork, Differential Privacy, ICALP 2006), if |log(P(F(D) in S)) - log(P(F(D’) in S))| <= epsilon for any pair D, D’ of datasets that differ in exactly one element, any set S, and the randomness is taken over the choices F makes.

References in zbMATH (referenced in 29 articles , 1 standard article )

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  1. Nie, Weilin; Wang, Cheng: Perturbation of convex risk minimization and its application in differential private learning algorithms (2017)
  2. Barthe, Gilles; Crespo, Juan Manuel; Kunz, César: Product programs and relational program logics (2016)
  3. Derbeko, Philip; Dolev, Shlomi; Gudes, Ehud; Sharma, Shantanu: Security and privacy aspects in Mapreduce on clouds: A survey (2016)
  4. Kairouz, Peter; Oh, Sewoong; Viswanath, Pramod: Extremal mechanisms for local differential privacy (2016)
  5. Boreale, Michele; Pampaloni, Francesca: Quantitative information flow under generic leakage functions and adaptive adversaries (2015)
  6. Boreale, Michele; Paolini, Michela: Worst- and average-case privacy breaches in randomization mechanisms (2015)
  7. Brunel, Aloïs: Quantitative classical realizability (2015)
  8. Giurgiu, Andrei; Guerraoui, Rachid; Huguenin, Kévin; Kermarrec, Anne-Marie: Computing in social networks (2014)
  9. Hajian, Sara; Domingo-Ferrer, Josep; Farràs, Oriol: Generalization-based privacy preservation and discrimination prevention in data publishing and mining (2014)
  10. Kosinski, Michal; Bachrach, Yoram; Kohli, Pushmeet; Stillwell, David; Graepel, Thore: Manifestations of user personality in website choice and behaviour on online social networks (2014) ioport
  11. Sarkar, Palash: On some connections between statistics and cryptology (2014)
  12. Chen, Rui; Fung, Benjamin C.M.; Mohammed, Noman; Desai, Bipin C.; Wang, Ke: Privacy-preserving trajectory data publishing by local suppression (2013)
  13. Domingo-Ferrer, Josep; Sánchez, David; Rufian-Torrell, Guillem: Anonymization of nominal data based on semantic marginality (2013) ioport
  14. Dondi, Riccardo; Mauri, Giancarlo; Zoppis, Italo: The $l$-diversity problem: tractability and approximability (2013)
  15. Ji, Zhanglong; Elkan, Charles: Differential privacy based on importance weighting (2013)
  16. Kenthapadi, Krishnaram; Mishra, Nina; Nissim, Kobbi: Denials leak information: simulatable auditing (2013)
  17. Soria-Comas, Jordi; Domingo-Ferrer, Josep: Optimal data-independent noise for differential privacy (2013)
  18. Zhu, Tieying; Wang, Shanshan; Li, Xiangtao; Zhou, Zhiguo; Zhang, Riming: Structural attack to anonymous graph of social networks (2013)
  19. Berendt, Bettina: More than modelling and hiding: towards a comprehensive view of web mining and privacy (2012) ioport
  20. Chakraborty, Supriyo; Charbiwala, Zainul; Choi, Haksoo; Raghavan, Kasturi Rangan; Srivastava, Mani B.: Balancing behavioral privacy and information utility in sensory data flows (2012) ioport

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