More Simplicity for Trainers, More Opportunity for Attackers:{Black-Box} Attacks on Speaker Recognition Systems by Inferring Feature Extractor
Recent studies have revealed that deep learning-based speaker recognition systems
(SRSs) are vulnerable to adversarial examples (AEs). However, the practicality of existing …
(SRSs) are vulnerable to adversarial examples (AEs). However, the practicality of existing …
Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning
Transfer-based adversarial attacks raise a severe threat to real-world deep learning systems
since they do not require access to target models. Adversarial training (AT), which is …
since they do not require access to target models. Adversarial training (AT), which is …
Adversarial attack method based on enhanced spatial momentum
Deep neural networks have been widely applied in many fields, but it is found that they are
vulnerable to adversarial examples, which can mislead the DNN-based models with …
vulnerable to adversarial examples, which can mislead the DNN-based models with …