Audio-domain position-independent backdoor attack via unnoticeable triggers

Author:

Shi Cong1,Zhang Tianfang1,Li Zhuohang2,Phan Huy1,Zhao Tianming3,Wang Yan3,Liu Jian2,Yuan Bo1,Chen Yingying1

Affiliation:

1. Rutgers University

2. University of Tennessee

3. Temple University

Funder

National Science Foundation

Publisher

ACM

Reference45 articles.

1. Hojjat Aghakhani , Thorsten Eisenhofer , Lea Schönherr , Dorothea Kolossa , Thorsten Holz , Christopher Kruegel , and Giovanni Vigna . 2020 . VENOMAVE: Clean-Label Poisoning Against Speech Recognition. Computing Research Repository (CoRR), abs/2010.10682 (2020). Hojjat Aghakhani, Thorsten Eisenhofer, Lea Schönherr, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, and Giovanni Vigna. 2020. VENOMAVE: Clean-Label Poisoning Against Speech Recognition. Computing Research Repository (CoRR), abs/2010.10682 (2020).

2. Image method for efficiently simulating small‐room acoustics

3. Amazon. 2022. Amazon SageMaker. https://docs.aws.amazon.com/sagemaker/index.html. Amazon. 2022. Amazon SageMaker. https://docs.aws.amazon.com/sagemaker/index.html.

4. Towards Evaluating the Robustness of Neural Networks

5. Nicholas Carlini and David Wagner . 2018. Audio adversarial examples: Targeted attacks on speech-to-text. In 2018 IEEE security and privacy workshops ( IEEE SPW) . 1--7. Nicholas Carlini and David Wagner. 2018. Audio adversarial examples: Targeted attacks on speech-to-text. In 2018 IEEE security and privacy workshops (IEEE SPW). 1--7.

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