IMDB adversarial examples by attacking Word CNN. Blue and red
Descrição
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis - ScienceDirect
Towards a Robust Deep Neural Network Against Adversarial Texts: A Survey
MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis, Journal of Cloud Computing
BeamAttack: Generating High-quality Textual Adversarial Examples Through Beam Search and Mixed Semantic Spaces
IMDB adversarial examples by attacking Word CNN. Blue and red texts
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis - ScienceDirect
IMDB adversarial examples by attacking Word CNN. Blue and red texts
PDF) An Attention Score Based Attacker for Black-box NLP Classifier
Towards a Robust Deep Neural Network Against Adversarial Texts: A Survey
Yiran Chen Scholars@Duke profile: Publications
Table 1 from Robust Physical-World Attacks on Deep Learning Visual Classification
BeamAttack: Generating High-quality Textual Adversarial Examples Through Beam Search and Mixed Semantic Spaces
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