Author:
Pardo Raúl,Rafnsson Willard,Probst Christian W.,Wąsowski Andrzej
Publisher
Springer International Publishing
Reference44 articles.
1. Ahmad, I.A., Lin, P.-E.: A nonparametric estimation of the entropy for absolutely continuous distributions (corresp.). IEEE Trans. Inf. Theory 22(3), 372–375 (1976)
2. Alvim, M., Chatzikokolakis, K., McIver, A., Morgan, C., Palamidessi, C., Smith, G.: The Science of Quantitative Information Flow. Springer, Cham (2020). https://doi.org/10.1007/978-3-319-96131-6
3. Bingham, E.: Pyro: deep universal probabilistic programming. J. Mach. Learn. Res. 20, 28:1-28:6 (2019)
4. Biondi, F., Kawamoto, Y., Legay, A., Traonouez, L.-M.: Hybrid statistical estimation of mutual information and its application to information flow. Formal Aspects Comput. 31(2), 165–206 (2018). https://doi.org/10.1007/s00165-018-0469-z
5. Lecture Notes in Computer Science;F Biondi,2013
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Privacy with Good Taste;Lecture Notes in Computer Science;2023
2. Exact and Efficient Bayesian Inference for Privacy Risk Quantification;Software Engineering and Formal Methods;2023
3. How Attacker Knowledge Affects Privacy Risks;Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics;2022-04-18
4. Automated quantized inference for probabilistic programs with AQUA;Innovations in Systems and Software Engineering;2022-01-20