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PDF Understanding and Mitigating Audio Adversarial Examples

WaveGuard: In this work we study the effectiveness of audio transformation based defenses for detecting adversar- ial examples for speech recognition systems
PDF WaveGuard: Understanding and Mitigating Audio Adversarial

structed by four recent audio adversarial attacks with a vari- ety of audio transformation functions. With careful regard for.
PDF CHARACTERIZING AUDIO ADVERSARIAL EXAMPLES USING

the automatic speech recognition (ASR) tasks and three recent audio adversarial attacks we find that (i) input transformation developed from image 
PDF Universal Adversarial Audio Perturbations

Index Terms—adversarial perturbation deep learning
PDF 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 
PDF SirenAttack: Generating Adversarial Audio for End-to-End Acoustic

SirenAttack: Generating Adversarial Audio for End-to-End. Acoustic Systems. Tianyu Du. Zhejiang University zjradty@zju.edu.cn. Shouling Ji?.
PDF Adversarial Audio: A New Information Hiding Method

25 oct. 2020 Adversarial Audio: A New Information Hiding Method. Yehao Kong Jiliang Zhang*. Cyberspace Security Research Center
PDF ADVERSARIAL AUDIO SYNTHESIS

WaveGAN is capa- ble of synthesizing one second slices of audio waveforms with global coherence suitable for sound effect generation. Our experiments 
PDF Identifying Audio Adversarial Examples via Anomalous Pattern

25 juil. 2020 Audio processing models based on deep neural networks are sus- ceptible to adversarial attacks even when the adversarial audio.
PDF Dompteur: Taming Audio Adversarial Examples

11 août 2021 Open access to the Proceedings of the. 30th USENIX Security Symposium is sponsored by USENIX. Dompteur: Taming Audio Adversarial Examples.
PDF A Robust Approach for Securing Audio Classification Against

Index Terms—Spectrograms Environmental Sound Classifica- tion
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PDF Generating Robust Audio Adversarial Examples with - IJCAI

Audio adversarial examples, imperceptible to hu- mans, have been constructed to attack automatic speech recognition (ASR) systems However, the adversarial  
PDF Poster: SirenAttack: Generating Adversarial Audio for End-to - NDSS

Poster: SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems Tianyu Du∗, Shouling Ji∗†, Jinfeng Li∗, Qinchen Gu‡, Ting Wang§ and 
PDF Defending Against Imperceptible Audio Adversarial Examples Using

Due to the relative novelty of these audio adversarial examples, there exist few robust defenses for these attacks We present a robust defense for inaudible or 
PDF ROBUSTNESS OF ADVERSARIAL ATTACKS IN SOUND - CORE

Index Terms— adversarial attacks, deep learning, robust clas- sifiers, sound event classification 1 INTRODUCTION Adversarial attacks are algorithms that add 
PDF [PDF] Adversarial Music: Real world Audio Adversary against Wake-word

vulnerable to audio adversarial examples In this work, we target our attack on the wake word detection system, jamming the model with some inconspicuous
PDF [PDF] Audio Adversarial Examples - EECS at UC Berkeley

Audio Adversarial Examples Targeted Attacks on Speech to Text Nicholas Carlini David Wagner University of California, Berkeley Abstract—We construct  
PDF [PDF] Imperceptible, Robust, and Targeted Adversarial Examples for

First, we develop effec tively imperceptible audio adversarial examples (verified through a human study) by leveraging the psychoacoustic principle of auditory 
PDF [PDF] Robust Audio Adversarial Example for a Physical Attack - IJCAI

We propose a method to generate audio adversarial examples that can attack a state of the art speech recognition model in the physical world Previous
PDF ROBUSTNESS OF ADVERSARIAL ATTACKS IN SOUND - Core

The existence of adversarial attacks presents a security threat to deep learning models that are used in tasks such as speech recognition and sound event 
PDF [PDF] Audio Adversarial Examples Generation with Recurrent - Yier Jin

results of the ASR systems like keyword spotting (KWS) systems Alzantot et al [ 18] performed a black box adversarial attack which crafts the adversarial audio 

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PDF] Robust Audio Adversarial Example for a Physical Attack

PDF] Robust Audio Adversarial Example for a Physical Attack

Source:https://d3i71xaburhd42.cloudfront.net/741258d52f3c5c3030de43aa09c7e55a45ff1a84/2-Figure1-1.png

PDF] Detecting Adversarial Attacks On Audio-Visual Speech

PDF] Detecting Adversarial Attacks On Audio-Visual Speech

Source:https://d3i71xaburhd42.cloudfront.net/43c6c345cc8a6abfde30198dbe82e09ffe80911b/3-Figure2-1.png

PDF] SirenAttack: Generating Adversarial Audio for End-to-End

PDF] SirenAttack: Generating Adversarial Audio for End-to-End

Source:https://sajabdoli.netlify.app/publication/uap/featured_hu7558d7c1c68d7f89c099d5e0c7f3f6d8_1493432_720x0_resize_lanczos_2.png

Universal Adversarial Audio Perturbations

Universal Adversarial Audio Perturbations

Source: Sajjad Abdoli

Adversarial Audio Synthesis GANs have been used to generate high

Adversarial Audio Synthesis GANs have been used to generate high

Source:https://d3i71xaburhd42.cloudfront.net/3bd1abe1a7272a9d3a9abbfc10d080e0e892d1f5/7-Figure3-1.png

PDF] Perceptual Based Adversarial Audio Attacks

PDF] Perceptual Based Adversarial Audio Attacks

Source: Semantic Scholar



Cours ,Exercices ,Examens,Contrôles ,Document ,PDF,DOC,PPT

  • adversarial examples speech recognition

    [PDF] Adversarial Examples Against Automatic Speech Recognition

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    [PDF] Adverse Selection and Moral Hazard in Online Markets - Centre for

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    [PDF] Adverse Selection or Moral Hazard, An Empirical - andrewcmuedu

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