Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives
Authors: Abhishek Divekar, Meet Parekh, Vaibhav Savla, Rudra Mishra, Mahesh Shirole | Published: 2018-11-13
Model Performance Evaluation
MixTrain: Scalable Training of Verifiably Robust Neural Networks
Authors: Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana | Published: 2018-11-06 | Updated: 2018-12-01
Exploring Connections Between Active Learning and Model Extraction
Authors: Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan | Published: 2018-11-05 | Updated: 2019-11-20
Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification
Authors: Yi Wang, Jianwu Wan, Jun Guo, Yiu-Ming Cheung, Pong C Yuen | Published: 2017-11-05
Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection
Authors: Devu Manikantan Shilay, Kin Gwn Lorey, Tianshu Weiz, Teems Lovetty, Yu Cheng | Published: 2017-09-26
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection
Authors: Jorge Rivero, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite | Published: 2017-09-23
Automatic Detection of Malware-Generated Domains with Recurrent Neural Models
Authors: Pierre Lison, Vasileios Mavroeidis | Published: 2017-09-20
Detection of Unauthorized IoT Devices Using Machine Learning Techniques
Authors: Yair Meidan, Michael Bohadana, Asaf Shabtai, Martin Ochoa, Nils Ole Tippenhauer, Juan Davis Guarnizo, Yuval Elovici | Published: 2017-09-14
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
Authors: Thilo Strauss, Markus Hanselmann, Andrej Junginger, Holger Ulmer | Published: 2017-09-11 | Updated: 2018-02-08
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Authors: Abien Fred Agarap | Published: 2017-09-10 | Updated: 2019-02-07