Privacy Analysis of Android Apps: Implicit Flows and Quantitative Analysis

(As with the previous theorem, note that the results for the exponential mechanism are stated as conjecture only, and this conjecture is assumed in the statement of this

If a randomized function K gives δ-differential privacy according to Definition 3, then the R´enyi min mutual information between the true answer of the function X and the

An "ideal" frequency-modulation receiver gives a rectified output which varies linearly with the instantaneous frequency of the input signal and is independent of its

• Chapter 4: We comprehensively analysed the interdependent privacy issue of Facebook third-party applications (apps) and third-party application providers (app providers),

To detect privacy leaks in Android apps, we have realized a prototype tool based on our previous work 2 : Epicc [1] which generates links between components of Android applications

Our objective in this work is thus to bridge the gap between exploiting the capabilities of state-of-the-art analysis tools and allowing them to perform whole-program analysis on

● Bitcoin scales poorly (~3 tx / sec): all nodes validate all transactions ● Two approaches: on-chain (sharding) and off-chain (Lightning).. We focus on the Lightning Network –

Further, this study shows that the dissemination of data by apps through their data handling practices does not always comply with their stated privacy policies, even in cases