3 papers
cs.SD2026
MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio
Qingcao Li, Yipeng Lin, Weichen Lian +3
Speech deepfake detection has achieved remarkable success in clean environments but faces significant challenges in complex, real-world scenarios where speech is often mixed with b…
cs.CV2024
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability
Zijian Ying, Qianmu Li, Tao Wang +3
Various methods try to enhance adversarial transferability by improving the generalization from different perspectives. In this paper, we rethink the optimization process and propo…
cs.CV2023
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method
Tao Wang, Zijian Ying, Qianmu Li +1
Adversarial examples generated from surrogate models often possess the ability to deceive other black-box models, a property known as transferability. Recent research has focused o…