VenoMave: Targeted Poisoning Against Speech Recognition

21 October 2020

Papers citing "VenoMave: Targeted Poisoning Against Speech Recognition"

42 / 42 papers shown

Title
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 106 50 0 13 Oct 2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers Stefanos Koffas Jing Xu Mauro Conti S. Picek AAML 32 68 0 30 Jul 2021
SpeechBrain: A General-Purpose Speech Toolkit Mirco Ravanelli Titouan Parcollet Peter William VanHarn Plantinga Aku Rouhe Samuele Cornell ... William Aris Hwidong Na Yan Gao R. Mori Yoshua Bengio 60 762 0 08 Jun 2021
Dompteur: Taming Audio Adversarial Examples Thorsten Eisenhofer Lea Schonherr Joel Frank Lars Speckemeier D. Kolossa Thorsten Holz AAML 49 24 0 10 Feb 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song Aleksander Madry Yue Liu Tom Goldstein SILM 59 277 0 18 Dec 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 68 216 0 04 Sep 2020
Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers Lea Schonherr Maximilian Golla Thorsten Eisenhofer Jan Wiele D. Kolossa Thorsten Holz 35 41 0 02 Aug 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 101 648 0 16 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 44 129 0 13 Jul 2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks Avi Schwarzschild Micah Goldblum Arjun Gupta John P. Dickerson Tom Goldstein AAML TDI 48 163 0 22 Jun 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty T. Jayashankar Jonathan Le Roux P. Moulin AAML 18 17 0 02 Jun 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Sina Daubener Lea Schonherr Asja Fischer D. Kolossa AAML 39 18 0 24 May 2020
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability H. Aghakhani Dongyu Meng Yu-Xiang Wang Christopher Kruegel Giovanni Vigna AAML 55 104 0 01 May 2020
Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription A. Andrusenko A. Laptev Ivan Medennikov 33 16 0 22 Apr 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning Wenjie Huang Jonas Geiping Liam H. Fowl Gavin Taylor Tom Goldstein 93 188 0 01 Apr 2020
Adversarial Machine Learning -- Industry Perspectives Ramnath Kumar Magnus Nyström J. Lambert Andrew Marshall Mario Goertzel Andi Comissoneru Matt Swann Sharon Xia AAML SILM 55 235 0 04 Feb 2020
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System Juncheng Billy Li Shuhui Qu Xinjian Li Joseph Szurley J. Zico Kolter Florian Metze AAML 14 65 0 31 Oct 2019
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems Lea Schonherr Thorsten Eisenhofer Steffen Zeiler Thorsten Holz D. Kolossa AAML 66 64 0 05 Aug 2019
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets Chen Zhu Wenjie Huang Ali Shafahi Hengduo Li Gavin Taylor Christoph Studer Tom Goldstein 66 284 0 15 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 80 1,825 0 06 May 2019
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition Yao Qin Nicholas Carlini Ian Goodfellow G. Cottrell Colin Raffel AAML 52 379 0 22 Mar 2019
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 252 1,044 0 29 Nov 2018
Stronger Data Poisoning Attacks Break Data Sanitization Defenses Pang Wei Koh Jacob Steinhardt Percy Liang 42 240 0 02 Nov 2018
Robust Audio Adversarial Example for a Physical Attack Hiromu Yakura Jun Sakuma AAML 43 191 0 28 Oct 2018
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding Lea Schonherr Katharina Kohls Steffen Zeiler Thorsten Holz D. Kolossa AAML 49 288 0 16 Aug 2018
Efficient keyword spotting using time delay neural networks Samuel Myer Vikrant Singh Tomar 40 39 0 11 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 71 1,892 0 02 Jul 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 58 1,028 0 30 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 359 921 0 21 Apr 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Pete Warden 60 1,599 0 09 Apr 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi Wenjie Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitras Tom Goldstein AAML 75 1,080 0 03 Apr 2018
Attention-based End-to-End Models for Small-Footprint Keyword Spotting Changhao Shan Junbo Zhang Yujun Wang Lei Xie AI4TS 28 110 0 29 Mar 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 68 1,076 0 05 Jan 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 64 1,614 0 19 Dec 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 72 1,758 0 22 Aug 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 101 2,142 0 21 Aug 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 33 1,205 0 25 May 2017
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting Sercan O. Arik Markus Kliegl R. Child Joel Hestness Andrew Gibiansky Christopher Fougner R. Prenger Adam Coates 52 181 0 15 Mar 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 840 149,474 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 176 18,922 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 183 14,831 1 21 Dec 2013
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 92 1,580 0 27 Jun 2012