Detecting Audio Adversarial Examples with Logit Noising-Reference-Cited by-同舟云学术

Detecting Audio Adversarial Examples with Logit Noising

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:Annual Computer Security Applications Conference
language:
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Author:

Park Namgyu¹,Ji Sangwoo²,Kim Jong²

Affiliation:

1. POSTECH, Korea, South ? Republic of Korea

2. POSTECH

Funder

Institute for Information and communications Technology Promotion

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485832.3485912

Reference36 articles.

1. Martín Abadi 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org. Martín Abadi 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org.

2. Hadi Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot and Patrick Traynor. 2020. SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems. arxiv:2007.06622 [cs.CR] Hadi Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot and Patrick Traynor. 2020. SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems. arxiv:2007.06622 [cs.CR]

3. ”Amazon”. [n. d.]. ”Amazon Alexa”. https://www.amazon.com. ”Amazon”. [n. d.]. ”Amazon Alexa”. https://www.amazon.com.

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