Acoustic confrontation sample generation method based on partition disturbance

An anti-sample and acoustic technology, applied in neural learning methods, biological neural network models, pattern recognition in signals, etc., can solve problems such as adversarial disturbances, achieve increased disturbance energy, not easy to find, and high attack success rate Effect

Pending Publication Date: 2022-06-03
ARMY ENG UNIV OF PLA
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Problems solved by technology

[0005] Aiming at the above deficiencies in the prior art, the present invention provides an acoustic adversarial sample generation method based on partition perturbation, which solves the problem that the current adversarial sample generation method in acoustic scene classification cannot set perturbation constraints according to the time-frequency distribution characteristics of the sound signal. Technical Issues of Adversarial Perturbation

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  • Acoustic confrontation sample generation method based on partition disturbance
  • Acoustic confrontation sample generation method based on partition disturbance
  • Acoustic confrontation sample generation method based on partition disturbance

Examples

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Embodiment

[0092] Example: An acoustic adversarial sample generation method based on partition perturbation, such as figure 1 shown, including: using Fourier transform to convert the original sample waveform into an amplitude spectrum;

[0093] On the amplitude spectrum, according to the time-frequency distribution characteristics of the sound signal, a partitioning scheme is used to perform partitioning, and a partitioning result is obtained;

[0094] generating a partition mask matrix according to the partition result;

[0095] Taking the magnitude spectrum and the partition mask matrix as input, the adversarial example generation method is used to generate the magnitude spectrum of adversarial examples based on partition perturbation.

[0096] Optionally, the partition scheme in the specific embodiment adopts one of the following manners.

[0097] Partitioning scheme 1: The region with the amplitude value greater than u·max is the key region of the amplitude spectrum, and the other ...

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Abstract

The invention provides an acoustic confrontation sample generation method based on partition disturbance, and the method comprises the steps: dividing a key region and a non-key region on an amplitude spectrogram of an audio based on the time-frequency distribution characteristics of an audio signal according to a partition scheme; different disturbance constraints are set in different areas, disturbance is generated in different areas by using an adversarial sample generation method, and the disturbance is superposed with an original amplitude spectrum to obtain an adversarial sample amplitude spectrum. When the subarea generates disturbance, the disturbance constraint of the key area is weakened to enhance the disturbance energy of the key area, the disturbance constraint of the non-key area is enhanced to weaken the disturbance energy of the non-key area, and the generated confrontation sample has the time-frequency distribution characteristic more similar to that of the original sample; a higher attack success rate can be obtained with smaller total disturbance energy.

Description

technical field [0001] The invention relates to the field of adversarial sample generation, in particular to an acoustic adversarial sample generation method based on partition disturbance. Background technique [0002] Studying adversarial attack is helpful to understand the vulnerability of deep learning models and explore how to defend against attacks, so studying acoustic adversarial attack is very important to explore how to improve the adversarial robustness of acoustic scene classification models. The adversarial sample attack technology based on deep learning has achieved good results in attacking the acoustic scene classification model, but the typical adversarial sample attack technology generates adversarial samples with a unified standard in the global sample, and in the pursuit of a high attack success rate. , there is the problem that the adversarial perturbation in the acoustic signal adversarial sample is easy to be perceived. [0003] In order to better imp...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F2218/02G06F2218/12
Inventor 张强杨吉斌张雄伟曹铁勇张睿孙蒙邹霞李毅豪张星昱陈乐乐王杨梅鹏程范君怡张玥陈军
Owner ARMY ENG UNIV OF PLA
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