Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
Authors: Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker, Jon Smith, Olivier Thuong, Lucas Bernardi | Published: 2021-07-05
When and How to Fool Explainable Models (and Humans) with Adversarial Examples
Authors: Jon Vadillo, Roberto Santana, Jose A. Lozano | Published: 2021-07-05 | Updated: 2023-07-07
Android Malware Category and Family Detection and Identification using Machine Learning
Authors: Ahmed Hashem El Fiky, Ayman El Shenawy, Mohamed Ashraf Madkour | Published: 2021-07-05
Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities
Authors: Dominik Sisejkovic, Lennart M. Reimann, Elmira Moussavi, Farhad Merchant, Rainer Leupers | Published: 2021-07-05 | Updated: 2021-11-23
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Authors: Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Chao Li, Shui Yu | Published: 2021-07-05
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems
Authors: Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai | Published: 2021-07-05 | Updated: 2021-10-03
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning
Authors: Rasheed el-Bouri, Tingting Zhu, David A. Clifton | Published: 2021-07-04
Machine Learning for Malware Evolution Detection
Authors: Lolitha Sresta Tupadha, Mark Stamp | Published: 2021-07-04
Auxiliary-Classifier GAN for Malware Analysis
Authors: Rakesh Nagaraju, Mark Stamp | Published: 2021-07-04
Certifiably Robust Interpretation via Renyi Differential Privacy
Authors: Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan | Published: 2021-07-04