Eliciting illegal migration rates through list randomization

Rational Migration Policy Should Tolerate Non- Zero Illegal Migration Flows: Lessons from Modelling the Market for Illegal Migration

Rational Migration Policy Should Tolerate Non-Zero Illegal Migration Flows: Lessons from Modelling the Market for Illegal Migration The debate on the immigration policies in OECD countries has turned its attention towards illegal migrants. Given that migration flows are determined by immigration laws, the probability of potential detection, penalties for unauthorised migrants and their employer...

Mitigating adversarial effects through randomization

Convolutional neural networks have demonstrated their powerful ability on various tasks in recent years. However, they are extremely vulnerable to adversarial examples. I.e., clean images, with imperceptible perturbations added, can easily cause convolutional neural networks to fail. In this paper, we propose to utilize randomization to mitigate adversarial effects. Specifically, we use two ran...

Injecting Heterogeneity Through Protocol Randomization

In this paper, we argue that heterogeneity should be an important principle in design and use of cryptographic protocols. We use automated formal analysis tools to randomly generate security protocols as a method of introducing heterogeneity. We present the results of simulations for the case of two party authentication protocols and argue that choosing protocols randomly out of sets numbering ...

Boosting Combinatorial Search Through Randomization

Unpredictability in the running time of complete search procedures can often be explained by the phenomenon of “heavy-tailed cost distributions”, meaning that at any time during the experiment there is a non-negligible probability of hitting a problem that requires exponentially more time to solve than any that has been encountered before (Gomes et al. 1998a). We present a general method for in...

An Approach to the Positive Political Economy of Illegal Migration