AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial
Contrastive Prompt Tuning
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial
Contrastive Prompt Tuning
Deep neural networks (DNNs) are known to be vulnerable to adversarial attacks even under a black-box setting where the adversary can only query the model. Particularly, query-based black-box adversarial attacks estimate adversarial gradients based on the returned probability vectors of the target model for a sequence of queries. During this …