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

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

17 February 2023

Luke E. Richards

Cynthia Matuszek

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

17 / 17 papers shown

Title
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 44 7 0 05 May 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 50 10 0 15 Apr 2022
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 46 65 0 27 Oct 2021
Fairness Degrading Adversarial Attacks Against Clustering Algorithms Anshuman Chhabra Adish Singla P. Mohapatra 60 7 0 22 Oct 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 48 33 0 21 Jun 2021
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints Maura Pintor Fabio Roli Wieland Brendel Battista Biggio AAML 74 73 0 25 Feb 2021
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov Christoph H. Lampert 36 18 0 11 Feb 2021
FADER: Fast Adversarial Example Rejection Francesco Crecchi Marco Melis Angelo Sotgiu D. Bacciu Battista Biggio AAML 43 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 41 180 0 13 Oct 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 50 119 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 228 5,774 0 20 Jun 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 87 1,592 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 79 901 0 18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 130 2,028 0 08 Feb 2019
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 88 1,077 0 05 Jan 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 98 1,407 0 08 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 269 12,029 0 19 Jun 2017