A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
Authors: Josh Kalin, David Noever, Matthew Ciolino | Published: 2021-03-03 | Updated: 2021-07-07
機械学習
Malware Classification with Word Embedding Features
Authors: Aparna Sunil Kale, Fabio Di Troia, Mark Stamp | Published: 2021-03-03
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
Authors: Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2020-12-07 | Updated: 2021-12-02
Deep Learning Methods for Credit Card Fraud Detection
Authors: Thanh Thi Nguyen, Hammad Tahir, Mohamed Abdelrazek, Ali Babar | Published: 2020-12-07
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems
Authors: Mayra Macas, Chunming Wu | Published: 2020-12-04
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning
Authors: Pietro Spadaccino, Francesca Cuomo | Published: 2020-12-02 | Updated: 2022-04-14
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders
Authors: Elior Nehemya, Yael Mathov, Asaf Shabtai, Yuval Elovici | Published: 2020-10-19 | Updated: 2021-09-02
Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms
Authors: Poonam Yadav, Angelo Feraudo, Budi Arief, Siamak F. Shahandashti, Vassilios G. Vassilakis | Published: 2020-10-16 | Updated: 2020-10-19
Securing Manufacturing Using Blockchain
Authors: Zahra Jadidi, Ali Dorri, Raja Jurdak, Colin Fidge | Published: 2020-10-15
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
Authors: Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars | Published: 2020-10-14