Structural Robustness for Deep Learning Architectures
Authors: Carlos Lassance, Vincent Gripon, Jian Tang, Antonio Ortega | Published: 2019-09-11
機械学習の応用
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
Authors: Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2019-08-29
Adversarial Edit Attacks for Tree Data
Authors: Benjamin Paaßen | Published: 2019-08-25 | Updated: 2019-08-27
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Authors: Zhixiong Yang, Arpita Gang, Waheed U. Bajwa | Published: 2019-08-23 | Updated: 2020-06-02
A Compendium on Network and Host based Intrusion Detection Systems
Authors: Rahul-Vigneswaran K, Prabaharan Poornachandran, Soman KP | Published: 2019-04-06
A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment
Authors: Iain Barclay, Alun Preece, Ian Taylor, Dinesh Verma | Published: 2019-04-05
Malware Detection using Machine Learning and Deep Learning
Authors: Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak | Published: 2019-04-04
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Authors: Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant | Published: 2019-04-04
Active Learning for Network Intrusion Detection
Authors: Amir Ziai | Published: 2019-04-02
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier
Authors: Yuyang Zhou, Guang Cheng, Shanqing Jiang, Mian Dai | Published: 2019-04-02 | Updated: 2020-04-02