Dynamic data fusion using multi-input models for malware classification
Authors: Viktor Zenkov, Jason Laska | Published: 2019-09-21
Challenges of Privacy-Preserving Machine Learning in IoT
Authors: Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng | Published: 2019-09-21
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection
Authors: Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, Aziz Mohaisen | Published: 2019-09-20
Defending Against Physically Realizable Attacks on Image Classification
Authors: Tong Wu, Liang Tong, Yevgeniy Vorobeychik | Published: 2019-09-20 | Updated: 2020-02-14
Towards Federated Graph Learning for Collaborative Financial Crimes Detection
Authors: Toyotaro Suzumura, Yi Zhou, Natahalie Baracaldo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Yuji Watanabe, Pablo Loyola, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran | Published: 2019-09-19 | Updated: 2019-10-02
Synthesis of Realistic ECG using Generative Adversarial Networks
Authors: Anne Marie Delaney, Eoin Brophy, Tomas E. Ward | Published: 2019-09-19
Adversarial Vulnerability Bounds for Gaussian Process Classification
Authors: Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A Alvarez | Published: 2019-09-19
Differentially Private Regression and Classification with Sparse Gaussian Processes
Authors: Michael Thomas Smith, Mauricio A. Alvarez, Neil D. Lawrence | Published: 2019-09-19
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
Authors: Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi | Published: 2019-09-19
Non-Interactive Private Decision Tree Evaluation
Authors: Anselme Tueno, Yordan Boev, Florian Kerschbaum | Published: 2019-09-18