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Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition

17 February 2023

Papers citing "Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition"

28 / 28 papers shown

Title
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 95 42 0 04 Jul 2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems Gaurav Kumar Nayak Ruchit Rawal Rohit Lal Himanshu Patil Anirban Chakraborty AAML 51 2 0 05 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 83 7 0 05 May 2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) Alex Fang Gabriel Ilharco Mitchell Wortsman Yu Wan Vaishaal Shankar Achal Dave Ludwig Schmidt VLM OOD 102 146 0 03 May 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 79 10 0 15 Apr 2022
Breaking Fair Binary Classification with Optimal Flipping Attacks Changhun Jo Jy-yong Sohn Kangwook Lee FaML 54 7 0 12 Apr 2022
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 66 65 0 27 Oct 2021
Fairness Degrading Adversarial Attacks Against Clustering Algorithms Anshuman Chhabra Adish Singla P. Mohapatra 87 7 0 22 Oct 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 76 16 0 28 Jul 2021
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification Yada Pruksachatkun Satyapriya Krishna Jwala Dhamala Rahul Gupta Kai-Wei Chang 71 33 0 21 Jun 2021
Adversarial Attacks and Defenses for Speech Recognition Systems Piotr Żelasko Sonal Joshi Yiwen Shao Jesus Villalba J. Trmal Najim Dehak Sanjeev Khudanpur AAML 47 28 0 31 Mar 2021
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints Maura Pintor Fabio Roli Wieland Brendel Battista Biggio AAML 88 73 0 25 Feb 2021
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov Christoph H. Lampert 62 18 0 11 Feb 2021
FADER: Fast Adversarial Example Rejection Francesco Crecchi Marco Melis Angelo Sotgiu D. Bacciu Battista Biggio AAML 55 15 0 18 Oct 2020
To be Robust or to be Fair: Towards Fairness in Adversarial Training Han Xu Xiaorui Liu Yaxin Li Anil K. Jain Jiliang Tang 58 180 0 13 Oct 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 79 121 0 24 Jun 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 301 5,849 0 20 Jun 2020
Poisoning Attacks on Algorithmic Fairness David Solans Battista Biggio Carlos Castillo AAML 78 81 0 15 Apr 2020
Common Voice: A Massively-Multilingual Speech Corpus Rosana Ardila Megan Branson Kelly Davis Michael Henretty M. Kohler Josh Meyer Reuben Morais Lindsay Saunders Francis M. Tyers Gregor Weber VLM 96 1,620 0 13 Dec 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 115 905 0 18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 171 2,052 0 08 Feb 2019
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 101 1,083 0 05 Jan 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 135 1,409 0 08 Dec 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 141 1,407 0 31 Oct 2017
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid Marco Melis Ambra Demontis Battista Biggio Gavin Brown Giorgio Fumera Fabio Roli AAML 60 98 0 23 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 176 5,049 0 27 Jun 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014