Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services
Authors: Ahmed Omara, Burak Kantarci | Published: 2022-08-09
Performance Evaluation
DeepTLS: comprehensive and high-performance feature extraction for encrypted traffic
Authors: Zhi Liu | Published: 2022-08-08
LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles
Authors: Li Yang, Abdallah Shami, Gary Stevens, Stephen De Rusett | Published: 2022-08-05 | Updated: 2022-09-01
Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset
Authors: Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Naeem Seliya, Mounika Vanamala | Published: 2022-07-27
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Authors: Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, Zhuo Lu | Published: 2022-07-26
On the Role of Generalization in Transferability of Adversarial Examples
Authors: Yilin Wang, Farzan Farnia | Published: 2022-06-18
Deepfake histological images for enhancing digital pathology
Authors: Kianoush Falahkheirkhah, Saumya Tiwari, Kevin Yeh, Sounak Gupta, Loren Herrera-Hernandez, Michael R. McCarthy, Rafael E. Jimenez, John C. Cheville, Rohit Bhargava | Published: 2022-06-16
On Private Online Convex Optimization: Optimal Algorithms in $\ell_p$-Geometry and High Dimensional Contextual Bandits
Authors: Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang | Published: 2022-06-16
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection
Authors: Dominik Kus, Eric Wagner, Jan Pennekamp, Konrad Wolsing, Ina Berenice Fink, Markus Dahlmanns, Klaus Wehrle, Martin Henze | Published: 2022-05-18
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution
Authors: Zhixin Pan, Prabhat Mishra | Published: 2022-05-18