adversarial examples speech recognition
Did you hear that? Adversarial Examples Against Automatic Speech
In this paper we present an attack approach that fools neural-network-based speech recognition model Similar to adversarial example generation for images the |
What is an adversarial example?
An adversarial example is an input (e.g. image, sound) designed to cause a machine learning model to make a wrong prediction.
It is generated from a clean example by adding a small perturbation, imperceptible for humans, but sensitive enough for the model to change its prediction.What is an adversarial example? Adversarial examples are specialised inputs created with the purpose of confusing a neural network, resulting in the misclassification of a given input.
These notorious inputs are indistinguishable to the human eye, but cause the network to fail to identify the contents of the image.
What are the causes of adversarial examples?
The major causes of adversarial examples include model linearity, one-sum constraint, and geometry of the categories.
What is an example of speech recognition?
Examples of Speech Recognition in Use
Note Taking/Writing: An example of speech recognition technology in use is speech-to-text platforms such as Speechmatics or Google's speech-to-text engine.
In addition, many voice assistants offer speech-to-text translation.
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Abstract—We construct targeted audio adversarial examples on automatic speech recognition. Given any audio waveform we can produce another that is over |
Imperio: Robust Over-the-Air Adversarial Examples for Automatic
adversarial examples automatic speech recognition |
Houdini: Fooling Deep Structured Visual and Speech Recognition
Generating adversarial examples is a critical step for evaluating and improving the robustness of learning machines. So far most existing methods only work. |
Noise Flooding for Detecting Audio Adversarial Examples Against
25 déc. 2018 Examples Against Automatic Speech Recognition. Krishan Rajaratnam. The College ... Index Terms—adversarial example detection speech recog-. |
Crafting Adversarial Examples For Speech Paralinguistics
11 janv. 2019 Speech recognition (typically a transcription task) is very different from computational paralinguistic tasks (which are typically classifica-. |
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
30 mars 2018 Constructing targeted adversarial examples on speech recognition has proven difficult. Hidden and inaudible voice commands [11 39 |
Adversarial Attacks Against Automatic Speech Recognition Systems
In this paper we introduce a new type of adversarial examples based on psychoacoustic hiding. Our attack exploits the character- istics of DNN-based ASR |
Characterizing Speech Adversarial Examples Using Self-Attention U
1 janv. 2022 We con- duct experiments on the automatic speech recognition (ASR) task with adversarial audio attacks. We find that (i) temporal features. |
Detecting Adversarial Examples for Speech Recognition via
25 oct 2020 · Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Sina Däubener1, Lea Schönherr1, Asja Fischer, |
Generating Robust Audio Adversarial Examples with - IJCAI
Due to the recent advancement in artificial intelligence (AI) and machine learning , automatic speech recognition (ASR) systems have been integrated into |
Defending Adversarial Attacks on Cloud-aided Automatic Speech
Computing methodologies → Speech recognition KEYWORDS Adversarial Examples; Deep Learning; Cloud-aided Speech Recog- nition ACM Reference |
Adversarial Examples Against Automatic Speech Recognition
In this paper, we present an attack approach that fools neural-network-based speech recognition model Similar to adversarial example generation for images, the |
Creating Simple Adversarial Examples for Speech Recognition
Creating Simple Adversarial Examples for Speech Recognition Deep Neural Networks Nathaniel Redden Department of Mathematics and Computer Science |
Targeted Speech Adversarial Example Generation - IEEE Xplore
are less investigations for the speech adversarial example generation Vaidya et al [6] is the first to report speech recognition system is vulnerable to adversarial |