1 citations · 3 across the 8 of their papers we have counts for
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Mitigating Black-Box Score-Based Query Attacks via Gradient Confusion
Ali Javeri, Javad Hezareh, Radin Shahdaei +1
Score-based black-box adversarial attacks pose a serious threat to deployed machine learning systems by exploiting repeated model queries to craft adversarial examples, requiring n…
Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks
Hamid Dashtbani, Mehdi Dousti Gandomani, AmirMahdi Sadeghzadeh
Machine learning models are increasingly adapted in various domains. However, adversarial examples pose a significant threat to the reliable deployment of these models. In recent y…
HODA: Hardness-Oriented Detection of Model Extraction Attacks
Amir Mahdi Sadeghzadeh, Amir Mohammad Sobhanian, Faezeh Dehghan +1
Model Extraction attacks exploit the target model's prediction API to create a surrogate model in order to steal or reconnoiter the functionality of the target model in the black-b…