When used maliciously, deepfake can pose detrimental implications to political and social
forces including reducing public trust in institutions, damaging the reputation of prominent …

Deep learning has gained immense attention from researchers in medicine, especially in
medical imaging. The main bottleneck is the unavailability of sufficiently large medical …

In recent years, the development of Natural Language Processing (NLP) text-to-face
encoders and Generative Adversarial Networks (GANs) has enabled the synthesis and …

Image generation is a long-standing problem in the machine learning and computer vision
areas. In order to generate images with high diversity, we propose a novel model called …

Categorizing the bioacoustic and ecoacoustic properties of animals is great interest to
biologists and ecologists. Also, multidisciplinary studies in engineering have significantly …

Face recognition recently has achieved remarkable success in many fields, especially in
mobile payment, authentication, criminal investigation, and city management. However, face …

Encrypted traffic classification has become a hot issue in network security research. The
class imbalance problem of traffic samples often causes the deterioration of Machine …

This thesis focuses on deepfake detection, the detection of an advanced synthetic media
technology that generates deceptively authentic yet forged image videos. The proposed …

如何借助计算机算法进行音乐的自动或半自动化生成工作一直是人工智能领域的一个研究热点.
**年来, 随着深度学**技术的深入发展, 使用基于神经网络并契合乐理先验知识的方法来生成高 …