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"TrojanModel: A Practical Trojan Attack against Automatic Speech Recogn" by Wei Zong, Yang Wai Chow et al.

While deep learning techniques have achieved great success in modern digital products, researchers have shown that deep learning models are susceptible to Trojan attacks. In a Trojan attack, an adversary stealthily modifies a deep learning model such that the model will output a predefined label whenever a trigger is present in the input. In this paper, we present TrojanModel, a practical Trojan attack against Automatic Speech Recognition (ASR) systems. ASR systems aim to transcribe voice input ...
Automatic Speech Recognition Adversarial Machine Learning Automatic Speech Recognition Deep Learning
Source: uow.edu.au

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