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Found 2 papers, 2 papers with code
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability
Neural network models are vulnerable to adversarial examples, and adversarial transferability further increases the risk of adversarial attacks.
MeaeQ: Mount Model Extraction Attacks with Efficient Queries
We study model extraction attacks in natural language processing (NLP) where attackers aim to steal victim models by repeatedly querying the open Application Programming Interfaces (APIs).
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