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Voice Recognition Systems (VRSs) employ deep learning for speech recognition and speaker recognition.
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VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion
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ATTEQ-NN: Attention-based QoE-aware Evasive Backdoor Attacks. In 29th Annual Network and Distributed System Security Symposium, NDSS 2022, San Diego, California, USA, April 24-28, 2022 . The Internet Society
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Advpulse: Universal, synchronization-free, and targeted audio adversarial attacks via subsecond perturbations. In Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security . 1121–1134
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Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
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Disabling backdoor and identifying poison data by using knowledge distillation in backdoor attacks on deep neural networks. In Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security . 117–127
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Backdoor Attacks against Deep Neural Networks by Personalized Audio Steganography. In 2022 26th International Conference on Pattern Recognition (ICPR) . IEEE, 68–74
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LoneNeuron: a Highly-Effective Feature-Domain Neural Trojan Using Invisible and Polymorphic Watermarks. In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security . 2129–2143
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Data Poisoning and Backdoor Attacks on Audio Intelligence Systems
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