Cloud services provide a powerful resource to which weak clients may outsource their computation. While tremendously useful, they come with their own security challenges. One of the fundamental issues in cloud computation is: how does a client efficiently verify the correctness of computation performed on an untrusted server? Furthermore, how can the client be assured that the server learns not...

Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many applications receiving even the first reward may require long exploration, during which the agent has no information about its progress. This paper presents an approach that makes it possible to use pre-existing knowledge...

Generative Adversarial Networks (GANs) have shown great promise recently in image generation. Training GANs for text generation has proven to be more difficult, because of the non-differentiable nature of generating text with recurrent neural networks. Consequently, past work has either resorted to pre-training with maximumlikelihood or used convolutional networks for generation. In this work, ...

Background Pre-eclampsia is one of the main causes of morbidity and mortality among pregnant women. This study was done with the objective of measuring abdominal aorta intima-media thickness, serum level of leptin, and lipid profile in neonates of pre-eclampsia mothers and comparing them with neonates of mothers without pre-eclampsia (control group). Materials and Methods Ninety neonates of pre...