Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
Authors: Mohamed ElShehaby, Ashraf Matrawy | Published: 2025-10-22
モデルの頑健性保証
DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
Authors: Daniel Pulido-Cortázar, Daniel Gibert, Felip Manyà | Published: 2025-10-14
Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
Authors: Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt, Adamu Gaston Philipo, Huansheng Ning | Published: 2025-09-24 | Updated: 2025-09-30
Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry
Authors: Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, Dag Johansen | Published: 2025-09-23 | Updated: 2025-10-15
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
Authors: Jan Lum Fok, Qingwen Zeng, Shiping Chen, Oscar Fawkes, Huaming Chen | Published: 2025-08-20
Amplifying Machine Learning Attacks Through Strategic Compositions
Authors: Yugeng Liu, Zheng Li, Hai Huang, Michael Backes, Yang Zhang | Published: 2025-06-23
Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017
Authors: Zhaoyang Xu, Yunbo Liu | Published: 2025-06-23 | Updated: 2025-08-11
DUMB and DUMBer: Is Adversarial Training Worth It in the Real World?
Authors: Francesco Marchiori, Marco Alecci, Luca Pajola, Mauro Conti | Published: 2025-06-23
Unsourced Adversarial CAPTCHA: A Bi-Phase Adversarial CAPTCHA Framework
Authors: Xia Du, Xiaoyuan Liu, Jizhe Zhou, Zheng Lin, Chi-man Pun, Zhe Chen, Wei Ni, Jun Luo | Published: 2025-06-12
Adversarial Surrogate Risk Bounds for Binary Classification
Authors: Natalie S. Frank | Published: 2025-06-11