x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification

ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

Liu, X., Wang, X., Sahidullah, M., Patino, J., Delgado, H., Kinnunen, T., Todisco, M., Yamagishi, J., Evans, N., Nautsch, A., et al. (2023) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2023.3285283 · Cited by 312 · see citing works

Adversarial Attack and Defense Strategies of Speaker Recognition Systems: A Survey

Tan, H., Wang, L., Zhang, H., Zhang, J., Shafiq, M., & Gu, Z. (2022) · Electronics · doi:10.3390/electronics11142183 · Cited by 60 · see citing works

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems

Joshi, S., Villalba, J., Zelasko, P., Moro-Velazquez, L., & Dehak, N. (2021) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2021.3116438 · Cited by 53 · see citing works

Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning

Wu, H., Xu, L., Liu, A. T., Wu, Z., Meng, H. M. L., & Lee, H.-Y. (2021) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2021.3133189 · Cited by 33 · see citing works

Defend Data Poisoning Attacks on Voice Authentication

Li, K., Baird, C., & Lin, D. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2023.3289446 · Cited by 22 · see citing works

Voting for the Right Answer: Adversarial Defense for Speaker Verification

Wu, H., Zhang, Y., Wu, Z., Wang, D., & Lee, H.-Y. (2021) · Interspeech (USB) · doi:10.21437/interspeech.2021-1452 · Cited by 22 · see citing works

Adversarial Sample Detection for Speaker Verification by Neural Vocoders

Wu, H., Hsu, P.-C., Gao, J., Zhang, S., Huang, S., Kang, J., Wu, Z., Meng, H. M. L., & Lee, H.-Y. (2022) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp43922.2022.9746900 · Cited by 20 · see citing works

Improving adversarial transferability by temporal and spatial momentum in urban speaker recognition systems

Tan, H., Gu, Z., Wang, L., Zhang, H., Gupta, B. B., & Tian, Z. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.108446 · Cited by 20 · see citing works

Breaking Security-Critical Voice Authentication

Kassis, A., & Hengartner, U. (2023) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp46215.2023.10179374 · Cited by 18 · see citing works

PhoneyTalker: An Out-of-the-Box Toolkit for Adversarial Example Attack on Speaker Recognition

Chen, M., Lü, L., Ba, Z., & Ren, K. (2022) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom48880.2022.9796934 · Cited by 15 · see citing works

On the Defense of Spoofing Countermeasures Against Adversarial Attacks

Nguyen-Vu, L., Doan, T.-P., Bui, M., Hong, K., & Jung, S. (2023) · IEEE Access · doi:10.1109/access.2023.3310809 · Cited by 14 · see citing works

Symmetric Saliency-Based Adversarial Attack to Speaker Identification

Yao, J., Chen, X., Zhang, X.-L., Zhang, W.-Q., & Yang, K. (2023) · IEEE Signal Processing Letters · doi:10.1109/lsp.2023.3236509 · Cited by 13 · see citing works

Interpretable Spectrum Transformation Attacks to Speaker Recognition Systems

Yao, J., Luo, H., Qi, J., & Zhang, X.-L. (2024) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2024.3364100 · Cited by 13 · see citing works

Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems

Villalba, J., Joshi, S., Żelasko, P., & Dehak, N. (2021) · Interspeech (USB) · doi:10.21437/interspeech.2021-1759 · Cited by 10 · see citing works

Practical Attacks on Voice Spoofing CountermeasuresPreprint

Kassis, A., & Hengartner, U. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.14642 · Cited by 11 · see citing works

Push the Limit of Adversarial Example Attack on Speaker Recognition in Physical Domain

Chen, Q., Chen, M., Lü, L., Yu, J., Chen, Y. J., Wang, Z., Ba, Z., Lin, F., & Ren, K. (2022) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3560905.3568518 · Cited by 9 · see citing works

AFPM: A Low-Cost and Universal Adversarial Defense for Speaker Recognition Systems

Sun, Z., Ren, Y., Huang, Y., Liu, W., & Zhu, H.-L. (2023) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2023.3348232 · Cited by 8 · see citing works

NMI-FGSM-Tri: An Efficient and Targeted Method for Generating Adversarial Examples for Speaker Recognition

Zhang, J., Tan, H., Deng, B., Hu, J., Zhu, D., Huang, L., & Gu, Z. (2022) · IEEE International Conference on Data Science in Cyberspace · doi:10.1109/dsc55868.2022.00029 · Cited by 8 · see citing works

LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification

Chen, X., Wang, J., Zhang, X.-L., Zhang, W.-Q., & Yang, K. (2023) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2023.3288417 · Cited by 6 · see citing works

Towards Generating Adversarial Examples on Combined Systems of Automatic Speaker Verification and Spoofing Countermeasure

Zhang, X., Zhang, X., Zou, X., Liu, H., & Sun, M. (2022) · Security and Communication Networks · doi:10.1155/2022/2666534 · Cited by 6 · see citing works

Masking Speech Feature to Detect Adversarial Examples for Speaker Verification

Chen, X., Yao, J., & Zhang, X.-L. (2022) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.23919/apsipaasc55919.2022.9980334 · Cited by 5 · see citing works

AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification

Joshi, S., Kataria, S., Villalba, J., & Dehak, N. (2022) · Interspeech (USB) · doi:10.21437/interspeech.2022-10985 · Cited by 5 · see citing works

Diffusion-Based Adversarial Purification for Speaker Verification

Bai, Y., Zhang, X.-L., & Li, X. (2024) · IEEE Signal Processing Letters · doi:10.1109/lsp.2024.3418715 · Cited by 5 · see citing works

Spotting adversarial samples for speaker verification by neural vocodersPreprint

Wu, H., Hsu, P., Gao, J., Zhang, S., Huang, S., Kang, J., Wu, Z., Meng, H. M. L., & Lee, H.-Y. (2021) · arXiv (Cornell University) · Cited by 5 · see citing works

Adversarial Perturbation Prediction for Real-Time Protection of Speech Privacy

Zhang, Z., Wang, S., Zhu, G., Zhan, D., & Huang, J. (2024) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2024.3463538 · Cited by 3 · see citing works

Characterizing the Adversarial Vulnerability of Speech self-Supervised Learning

Wu, H., Zheng, B., Li, X., Wu, X., Lee, H.-Y., & Meng, H. M. L. (2022) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp43922.2022.9747242 · Cited by 3 · see citing works

Voting for the right answer: Adversarial defense for speaker verificationPreprint

Wu, H., Zhang, Y., Wu, Z., Wang, D., & Lee, H.-Y. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.07868 · Cited by 3 · see citing works

Scalable Ensemble-Based Detection Method Against Adversarial Attacks For Speaker Verification

Wu, H., Kuo, H.-C., Tsao, Y., & Lee, H.-Y. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10447441 · Cited by 2 · see citing works

SUETA: Speaker-specific utterance ensemble based transfer attack on speaker identification system

Zuo, C.-X., Leng, J.-Y., & Li, W.-J. (2024) · Computers & Security · doi:10.1016/j.cose.2024.103948 · Cited by 2 · see citing works

Q-PGD: A Stealthy and Effective Speaker Recognition Adversarial Attacks Based on Quantized Projected Gradient Descent

Wang, J., Fu, Y., & Yang, J. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11228591 · Cited by 1 · see citing works

Your Voice is Not Yours? Black-Box Adversarial Attacks Against Speaker Recognition Systems

Ye, J., Lin, F., Liu, X., & Liu, B. (2022) · IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) · doi:10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00094 · Cited by 1 · see citing works

A Tandem Framework Balancing Privacy and Security for Voice User InterfacesPreprint

Aloufi, R., Haddadi, H., & Boyle, D. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.10045 · Cited by 2 · see citing works

Signal Processing Interpretation for Adversarial Examples in Speaker Verification

Sankala, S., Murty, K. S. R., & Yegna Narayana, B. (2024) · National Conference on Communications · doi:10.1109/ncc60321.2024.10485920

Defending Adversarial Attacks Against ASV Systems Using Spectral Masking

Sreekanth, S., & Murty, K. S. R. (2024) · Circuits Systems and Signal Processing · doi:10.1007/s00034-024-02665-7

BypTalker: An Adaptive Adversarial Example Attack to Bypass Prefilter-enabled Speaker Recognition

Chen, Q., Fu, K., Lü, L., Chen, M., Ba, Z., Lin, F., & Ren, K. (2023) · International Conference on Mobility, Sensing and Networking (MSN) · doi:10.1109/msn60784.2023.00077

Adversarial Purification For Speaker Verification By Two-Stage Diffusion Models

Bai, Y., Zhang, X.-L., & Li, X. (2024) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt61566.2024.10832168

TimbreAdv: Timbre Adversarial Attacks on Speaker Verification Systems

Xiao, Y., Yao, W., Li, Z., Yang, J., Chen, Y., Luo, X., Xiao, F., & Wen, W. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-04549-2_26

End-to-End Modeling for Speech Spoofing and Deepfake Detection

Tak, H. (2023) · theses.fr (ABES) · doi:10.70675/aa9fb6cbz3f6az45bcz933fzf95d89893e59

The Achilles’ heel of spoofing-aware speaker verification: a module-level analysis of adversarial vulnerabilities

Lee, Y., Doan, T.-P., Hong, S., & Jung, S. (2026) · PeerJ Computer Science · doi:10.7717/peerj-cs.3744

Rethinking Practical Adversarial Example Attack on Speaker Recognition in Physical Domain

Chen, Q., Li, L., Chen, M., Yu, J., Ba, Z., Lin, F., Cheng, P., & Ren, K. (2026) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2026.3709188

Adversarial Regularization for End-to-End Robust Speaker Verification

Wang, Q., Guo, P., Sun, S., Xie, L., & Hansen, J. H. L. (2019) · Interspeech (USB) · doi:10.21437/interspeech.2019-2983 · Cited by 38 · see citing works

Pairing Weak with Strong: Twin Models for Defending Against Adversarial Attack on Speaker Verification

Peng, Z., Li, X., & Lee, T. (2021) · Interspeech (USB) · doi:10.21437/interspeech.2021-1343 · Cited by 11 · see citing works

Adversarial Attacks on Text-dependent Speaker Verification System

Sankala, S., Parvathala, V., Gundluru, R., & Murty, K. S. R. (2025) · Interspeech (USB) · doi:10.21437/interspeech.2025-1560

VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks

Kan, Y. K., Xu, K., Li, H., & Shi, J. (2024) · Interspeech (USB) · doi:10.21437/interspeech.2024-372 · Cited by 3 · see citing works

Adversarial learning for speaker verification and speech emotion recognition

Yi, L. (n.d.) · PolyU Institutional Research Archive (Hong Kong Polytechnic University)