EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes
Authors: Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq | Published: 2021-09-14 | Updated: 2022-08-06
Data Generation
Deep Generative Models to Extend Active Directory Graphs with Honeypot Users
Authors: Ondrej Lukas, Sebastian Garcia | Published: 2021-09-13
Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques
Authors: Ashly Lau, Jonathan Passerat-Palmbach | Published: 2021-09-06
Mitigating Statistical Bias within Differentially Private Synthetic Data
Authors: Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian Vollmer, Chris Holmes | Published: 2021-08-24 | Updated: 2022-05-19
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
Authors: Alberto Mozo, Ángel González-Prieto, Antonio Pastor, Sandra Gómez-Canaval, Edgar Talavera | Published: 2021-07-30
Auxiliary-Classifier GAN for Malware Analysis
Authors: Rakesh Nagaraju, Mark Stamp | Published: 2021-07-04
Learner-Private Convex Optimization
Authors: Jiaming Xu, Kuang Xu, Dana Yang | Published: 2021-02-23 | Updated: 2021-10-23
Certifiably Robust Variational Autoencoders
Authors: Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth | Published: 2021-02-15 | Updated: 2022-04-23
Symmetric Sparse Boolean Matrix Factorization and Applications
Authors: Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang | Published: 2021-02-02 | Updated: 2022-01-13
Differentially Private Adversarial Robustness Through Randomized Perturbations
Authors: Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier | Published: 2020-09-27