Exploring Adversarial Examples In Malware Detection

Summary

Exploring Adversarial Examples in Malware Detection The last decade witnessed an exponential growth of smartphones and their users, which has drawn massive attention from ... Authors: Heng Li, Shiyao Zhou, Wei Yuan, Xiapu Luo, Cuiying Gao, Shuiyan Chen. Adnan Rakin (Arizona State University, former MERL intern) presents our paper "Towards Universal An input manipulation attack changes what the AI receives to cause a wrong answer. Can the AI handle input changed on ... Authors: Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon Description: A wide variety of works have A high-level talk about my PhD research area, where I have investigated methods to defend ML-based This intensive hands-on training gives you the most important thing when it comes to Nicolas Papernot, Director of Institute for Network and Security Research, and Patrick McDaniel, Computer Security Graduate ... Today we're joined by Edward Raff, chief scientist and head of the machine learning research group at Booz Allen Hamilton. Authors: James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun ...