Author:
Khan Sarwar,Chen Jun-Cheng,Liao Wen-Hung,Chen Chu-Song
Publisher
Springer Nature Switzerland
Reference45 articles.
1. Afchar, D., Nozick, V., Yamagishi, J., Echizen, I.: MesoNet: a compact facial video forgery detection network. In: WIFS, pp. 1–7 (2018)
2. Alnaim, N.M., Almutairi, Z.M., Alsuwat, M.S., Alalawi, H.H., Alshobaili, A., Alenezi, F.S.: DFFMD: a deepfake face mask dataset for infectious disease era with deepfake detection algorithms. IEEE Access, 16711–16722 (2023)
3. Carlini, N., Wagner, D.: Adversarial examples are not easily detected: Bypassing ten detection methods. In: AIS, pp. 3–14 (2017)
4. Chai, L., Bau, D., Lim, S.N., Isola, P.: What makes fake images detectable? understanding properties that generalize. In: ECCV, pp. 103–120 (2020)
5. Chen, G., et al.: Towards understanding and mitigating audio adversarial examples for speaker recognition. TDSC (2022)