Exploring Adversarial Examples in Malware Detection
Authors: Octavian Suciu, Scott E. Coull, Jeffrey Johns | Published: 2018-10-18 | Updated: 2019-04-13
Literature Database
Private Machine Learning in TensorFlow using Secure Computation
Authors: Morten Dahl, Jason Mancuso, Yann Dupis, Ben Decoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, Gavin Uhma | Published: 2018-10-18 | Updated: 2018-10-23
A Training-based Identification Approach to VIN Adversarial Examples
Authors: Yingdi Wang, Wenjia Niu, Tong Chen, Yingxiao Xiang, Jingjing Liu, Gang Li, Jiqiang Liu | Published: 2018-10-18
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Authors: Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, Ali Emami | Published: 2018-10-16 | Updated: 2018-12-11
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking
Authors: Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras | Published: 2018-10-16 | Updated: 2019-05-09
Malware triage for early identification of Advanced Persistent Threat activities
Authors: Giuseppe Laurenza, Riccardo Lazzeretti, Luca Mazzotti | Published: 2018-10-16
Security Matters: A Survey on Adversarial Machine Learning
Authors: Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen | Published: 2018-10-16 | Updated: 2018-10-23
Adaptive Fraud Detection System Using Dynamic Risk Features
Authors: Huiying Mao, Yung-wen Liu, Yuting Jia, Jay Nanduri | Published: 2018-10-10
The Adversarial Attack and Detection under the Fisher Information Metric
Authors: Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen | Published: 2018-10-09 | Updated: 2019-02-09
Privacy-Preserving Multiparty Learning For Logistic Regression
Authors: Wei Du, Ang Li, Qinghua Li | Published: 2018-10-04