Diffusion-based image generation models, such as Stable Diffusion or DALL· E 2, are able
to learn from given images and generate high-quality samples following the guidance from …

Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Advancements in generative AI models like Stable Diffusion, DALL· E 2, and Midjourney
have revolutionized digital creativity, enabling the generation of authentic-looking images …

Artificial Intelligence Generated Content (AIGC) is one of the latest achievements in AI
development. The content generated by related applications, such as text, images and …

Deepfake or synthetic images produced using deep generative models pose serious risks to
online platforms. This has triggered several research efforts to accurately detect deepfake …

Model extraction (ME) attacks represent one major threat to Machine-Learning-as-a-Service
(MLaaS) platforms by" stealing" the functionality of confidential machine-learning models …

With the rapid progress over the past five years, face authentication has become the most
pervasive biometric recognition method. Thanks to the high-accuracy recognition …

With the rise of AI-enabled Real-Time Deepfakes (RTDFs), the integrity of online video
interactions has become a growing concern. RTDFs have now made it feasible to replace an …

Face Verification Systems (FVSes) are more and more deployed by real-world mobile
applications (apps) to verify a human's claimed identity. One popular type of FVSes is called …

Deepfakes have rapidly emerged as a profound and serious threat to society, primarily due
to their ease of creation and dissemination. This situation has triggered an accelerated …