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Found 6 papers, 5 papers with code
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
We evaluate our findings empirically, and discuss when methods are suitable for CP optimization.
Information Leakage Games: Exploring Information as a Utility Function
A common goal in the areas of secure information flow and privacy is to build effective defenses against unwanted leakage of information.
Estimating g-Leakage via Machine Learning
A feature of our approach is that it does not require to estimate the conditional probabilities, and that it is suitable for a large class of ML algorithms.
Optimal Obfuscation Mechanisms via Machine Learning
The idea is to set up two nets: the generator, that tries to produce an optimal obfuscation mechanism to protect the data, and the classifier, that tries to de-obfuscate the data.
F-BLEAU: Fast Black-box Leakage Estimation
The state-of-the-art method for estimating these leakage measures is the frequentist paradigm, which approximates the system's internals by looking at the frequencies of its inputs and outputs.
Cryptography and Security
Geo-Indistinguishability: Differential Privacy for Location-Based Systems
The growing popularity of location-based systems, allowing unknown/untrusted servers to easily collect huge amounts of information regarding users' location, has recently started raising serious privacy concerns.
Cryptography and Security C.2.0; K.4.1
