Adversarial Reprogramming of Neural Networks
Authors: Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein | Published: 2018-06-28 | Updated: 2018-11-29
文献データベース
Towards Demystifying Membership Inference Attacks
Authors: Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei | Published: 2018-06-28 | Updated: 2019-02-01
PIDS – A Behavioral Framework for Analysis and Detection of Network Printer Attacks
Authors: Asaf Hecht, Adi Sagi, Yuval Elovici | Published: 2018-06-27
Adversarial Distillation of Bayesian Neural Network Posteriors
Authors: Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger Grosse, Richard Zemel | Published: 2018-06-27
Detection based Defense against Adversarial Examples from the Steganalysis Point of View
Authors: Jiayang Liu, Weiming Zhang, Yiwei Zhang, Dongdong Hou, Yujia Liu, Hongyue Zha, Nenghai Yu | Published: 2018-06-21 | Updated: 2018-12-24
Gradient Adversarial Training of Neural Networks
Authors: Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich | Published: 2018-06-21
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