We propose transferability from Large Geometric Vicinity (LGV), a new technique to increase the of black-box adversarial attacks. LGV starts pretrained surrogate model and collects multiple weight sets few additional training epochs with constant high learning rate. exploits two geometric properties that we relate transferability. First, models belong wider optimum are better surrogates. Second...

In order to develop machine learning and deep models that take into account the guidelines principles of trustworthy AI, a novel information theoretic approach is introduced in this article. A unified privacy-preserving interpretable transferable considered for studying optimizing trade-offs between privacy, interpretability, transferability aspects AI. variational membership-mapping Bayesian m...

In particular, he adds, “A’s intending that the recognition should play this part implies . . . that he does not regard it as a foregone conclusion that the belief will be induced in the audience whether or not the intention behind the utterance is recognized.” The motivation for this particular condition is a series of examples in which A utters x with the intention of inducing a belief, and w...

This paper sheds light on the transferability of human capital in periods of dramatic structural change by analyzing the unique event of German Reunification. We explore whether the comparatively low labor productivity in East Germany after reunification is caused by the depreciation of human capital at reunification, or by unfavorable job characteristics. East German workers should have been h...

Deep neural networks (DNNs) are vulnerable to adversarial examples, which crafted by adding small, human-imperceptible perturbations the original images, but make model output inaccurate predictions. Before DNNs deployed, attacks can thus be an important method evaluate and select robust models in safety-critical applications. However, under challenging black-box setting, attack success rate, i...

Species distribution model (SDM) projections under future climate scenarios are increasingly being used to inform resource management and conservation strategies. A critical assumption for projecting climate change responses is that SDMs are transferable through time, an assumption that is largely untested because investigators often lack temporally independent data for assessing transferabilit...

Expressed sequence tags simple sequence repeats (EST-SSRs) are important sources for investigation of genetic diversity and molecular marker development. Similar to genomic SSRs, the EST-SSRs are useful markers for many applications in genetics and plant breeding such as genetic diversity analysis, molecular mapping and cross-transferability across related species and genera. In spite of low po...

We develop a model to analyze the determinants and effects of an endogenous imperfect transferability of human capital on natives and immigrants. The model reveals that high migration flows and high skill-transferability are mutually interdependent. Moreover, we show that high mobility within a Federation is necessary to attract highly skilled immigrants into the Federation. We study in how far...