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
Machine Learning
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Authors: Hossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein | Published: 2021-06-16 | Updated: 2022-10-13
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Authors: Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu | Published: 2021-06-08
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
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