Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box
Attacks on Speech Recognition and Voice Identification Systems

Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems

11 October 2019

Muhammad Sajidur Rahman

Washington Garcia

Anurag Swarnim Yadav

Patrick Traynor

Papers citing "Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems"

17 / 17 papers shown

Title
RoVo: Robust Voice Protection Against Unauthorized Speech Synthesis with Embedding-Level Perturbations Seungmin Kim Sohee Park Donghyun Kim Jisu Lee Daeseon Choi AAML 7 0 0 19 May 2025
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 68 3 0 20 Nov 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 42 1 0 29 Jun 2023
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution Matías P. Pizarro D. Kolossa Asja Fischer AAML 40 1 0 26 May 2023
How WEIRD is Usable Privacy and Security Research? (Extended Version) A. Hasegawa Daisuke Inoue Mitsuaki Akiyama 15 10 0 08 May 2023
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization Hamza Kheddar Yassine Himeur S. Al-Maadeed Abbes Amira F. Bensaali 47 76 0 27 Apr 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models R. Olivier H. Abdullah Bhiksha Raj AAML 26 1 0 17 Sep 2022
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Feng Wang Jiashui Wang AAML 20 36 0 07 Jun 2022
Adversarial attacks and defenses in Speaker Recognition Systems: A survey Jiahe Lan Rui Zhang Zheng Yan Jie Wang Yu Chen Ronghui Hou AAML 24 23 0 27 May 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems H. Abdullah Aditya Karlekar S. Prasad Muhammad Sajidur Rahman Logan Blue L. A. Bauer Vincent Bindschaedler Patrick Traynor AAML 23 3 0 10 Mar 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 23 40 0 10 Mar 2022
SEC4SR: A Security Analysis Platform for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Yang Liu AAML 25 12 0 04 Sep 2021
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples Adelin Travers Lorna Licollari Guanghan Wang Varun Chandrasekaran Adam Dziedzic David Lie Nicolas Papernot AAML 28 3 0 03 Aug 2021
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems Yuxuan Chen Jiangshan Zhang Xuejing Yuan Shengzhi Zhang Kai Chen Xiaofeng Wang Shanqing Guo AAML 37 15 0 19 Mar 2021
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems Guangke Chen Sen Chen Lingling Fan Xiaoning Du Zhe Zhao Fu Song Yang Liu AAML 19 193 0 03 Nov 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016