adversarial machine learning

Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks

Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations

On Designing A 3D Imaging Summer Project for Ontario's High School Students during Covid-19 Pandemic

Learning Speech Representations with Flexible Hidden Feature Dimensions

Styx: Adaptive Poisoning Attacks against Byzantine-Robust defenses in Federated Learning

Forensics for Adversarial Machine Learning through Attack Mapping Identification

On Adversarial Robustness of Audio Classifiers

AN EMPIRICAL STUDY OF BACKDOOR ATTACKS ON MASKED AUTOENCODERS

Conditional LS-GAN based Skylight Polarization Image Restoration and Application in Meridian Localization

A Perturbation-based Policy Distillation Framework with Generative Adversarial Nets

Adversarial Permutation Invariant Training for Universal Sound Separation

SIMILARITY RELATION PRESERVING CROSS-MODAL LEARNING FOR MULTISPECTRAL PEDESTRIAN DETECTION AGAINST ADVERSARIAL ATTACKS