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Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
Real-time White-Box attacks against Object Detection.
Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.
BERT based deep neural network for aspect-based sentiment analysis.
Fast Gradient Sign Adversarial Attack(FGSM) examples creation using FashionMnist dataset
Study of four first order Frank Wolfe algorithms to solve constrained non-convex problems in the context of white box adversarial attacks.