Dataset Groups Activity Stream Manifold Adversarial Training Manifold Adversarial Training (MAT) is a novel method to smooth the distributional manifold in the latent space. BibTex: @dataset{Shufei_Zhang_and_Kaizhu_Huang_and_Jianke_Zhu_and_Yang_Liu_2024, abstract = {Manifold Adversarial Training (MAT) is a novel method to smooth the distributional manifold in the latent space.}, author = {Shufei Zhang and Kaizhu Huang and Jianke Zhu and Yang Liu}, doi = {10.57702/fr4lhjpp}, institution = {No Organization}, keyword = {'Adversarial Examples', 'Gaussian Mixture Model', 'Latent Space', 'Manifold Adversarial Training'}, month = {dec}, publisher = {TIB}, title = {Manifold Adversarial Training}, url = {https://service.tib.eu/ldmservice/dataset/manifold-adversarial-training}, year = {2024} }