Dompteur: Taming Audio Adversarial Examples

10 February 2021

Papers citing "Dompteur: Taming Audio Adversarial Examples"

5 / 5 papers shown

Title
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution Matías P. Pizarro D. Kolossa Asja Fischer AAML 27 1 0 26 May 2023
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning Thorsten Eisenhofer Erwin Quiring Jonas Moller Doreen Riepel Thorsten Holz Konrad Rieck AAML 16 6 0 25 Mar 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 27 75 0 29 Dec 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
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 38 223 0 19 Feb 2018