Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
Authors: Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin | Published: 2018-06-19 | Updated: 2019-05-07
Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment
Authors: Md Mohaimenuzzaman, Zahraa Said Abdallah, Joarder Kamruzzaman, Bala Srinivasan | Published: 2018-06-19
Privacy Preserving Analytics on Distributed Medical Data
Authors: Marina Blanton, Ah Reum Kang, Subhadeep Karan, Jaroslaw Zola | Published: 2018-06-18
Image classification and retrieval with random depthwise signed convolutional neural networks
Authors: Yunzhe Xue, Usman Roshan | Published: 2018-06-15 | Updated: 2019-03-15
Hardware Trojan Attacks on Neural Networks
Authors: Joseph Clements, Yingjie Lao | Published: 2018-06-14
Securing Majority-Attack In Blockchain Using Machine Learning And Algorithmic Game Theory: A Proof of Work
Authors: Somdip Dey | Published: 2018-06-14
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
Authors: Jacson Rodrigues Correia-Silva, Rodrigo F. Berriel, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos | Published: 2018-06-14
Manifold Mixup: Better Representations by Interpolating Hidden States
Authors: Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, Aaron Courville, David Lopez-Paz, Yoshua Bengio | Published: 2018-06-13 | Updated: 2019-05-11
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus
Authors: William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas | Published: 2018-06-12
Defense Against the Dark Arts: An overview of adversarial example security research and future research directions
Authors: Ian Goodfellow | Published: 2018-06-11