Unfair behaviors of Machine Learning (ML) software have garnered increasing attention and
concern among software engineers. To tackle this issue, extensive research has been …

Although effective deepfake detection models have been developed in recent years recent
studies have revealed that these models can result in unfair performance disparities among …

Despite the development of effective deepfake detectors in recent years, recent studies have
demonstrated that biases in the data used to train these detectors can lead to disparities in …

Deepfake refers to an artificial intelligence-based technique to produce manipulated videos
that look realistic. However, this good aspect of Deepfake sometimes pose serious threats to …

Methods that can generate synthetic speech which is perceptually indistinguishable from
speech recorded by a human speaker are easily available. Several incidents report misuse …

In recent years, image and video manipulations with Deepfake have become a severe
concern for security and society. Many detection models and datasets have been proposed …

With the advancement of sentiment analysis (SA) models and their incorporation into our
daily lives, fairness testing on these models is crucial, since unfair decisions can cause …

Deep generative models have demonstrated impressive performance in various computer
vision applications, including image synthesis, video generation, and medical analysis …

In recent years, image and video manipulations with Deepfake have become a severe
concern for security and society. Many detection models and datasets have been proposed …

Hand pose estimation (HPE) is a task that predicts and describes the hand poses from
images or video frames. When HPE models estimate hand poses captured in a laboratory or …