Characterizing the adversarial vulnerability of speech self-supervised
learning

Characterizing the adversarial vulnerability of speech self-supervised learning

8 November 2021

Haibin Wu

Papers citing "Characterizing the adversarial vulnerability of speech self-supervised learning"

8 / 8 papers shown

Title
Biomimetic Frontend for Differentiable Audio Processing Ruolan Leslie Famularo D. Zotkin S. Shamma R. Duraiswami AI4TS 36 0 0 13 Sep 2024
Spoofing Attacker Also Benefits from Self-Supervised Pretrained Model Aoi Ito Shota Horiguchi SSL 27 2 0 24 May 2023
There is more than one kind of robustness: Fooling Whisper with adversarial examples R. Olivier Bhiksha Raj AAML 37 12 0 26 Oct 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models R. Olivier H. Abdullah Bhiksha Raj AAML 24 1 0 17 Sep 2022
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 131 349 0 21 May 2022
Defense against adversarial attacks on spoofing countermeasures of ASV Haibin Wu Songxiang Liu Helen Meng Hung-yi Lee AAML 98 52 0 06 Mar 2020
End-to-End Neural Speaker Diarization with Permutation-Free Objectives Yusuke Fujita Naoyuki Kanda Shota Horiguchi Kenji Nagamatsu Shinji Watanabe 163 244 0 12 Sep 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016