 Deep generative models as an adversarial attack strategy for tabular
machine learningInternational Conference on Machine Learning and Computing (ICMLC), 2024 |
 Intriguing Properties of Diffusion Models: An Empirical Study of the
Natural Attack Capability in Text-to-Image Generative ModelsComputer Vision and Pattern Recognition (CVPR), 2023 |
 Fingerprinting Deep Neural Networks Globally via Universal Adversarial
PerturbationsComputer Vision and Pattern Recognition (CVPR), 2022 |
 Synthetic flow-based cryptomining attack generation through Generative
Adversarial NetworksScientific Reports (Sci Rep), 2021 |
 Signal Transformer: Complex-valued Attention and Meta-Learning for
Signal RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 |
 Vax-a-Net: Training-time Defence Against Adversarial Patch AttacksAsian Conference on Computer Vision (ACCV), 2020 |
