Metaverse-enabled healthcare systems are expected to efficiently utilize an unprecedented
amount of health-related data without disclosing sensitive or private information of …

Vision is the most important sense for people, and it is also one of the main ways of
cognition. As a result, people tend to utilize visual content to capture and share their life …

Recent text-to-image diffusion models such as MidJourney and Stable Diffusion threaten to
displace many in the professional artist community. In particular, models can learn to mimic …

Text-to-image diffusion models are nothing but a revolution, allowing anyone, even without
design skills, to create realistic images from simple text inputs. With powerful personalization …

As machine learning systems grow in scale, so do their training data requirements, forcing
practitioners to automate and outsource the curation of training data in order to achieve state …

While deep face recognition (FR) systems have shown amazing performance in
identification and verification, they also arouse privacy concerns for their excessive …

The adversarial machine learning literature is largely partitioned into evasion attacks on
testing data and poisoning attacks on training data. In this work, we show that adversarial …

Achieving transferability of targeted attacks is reputed to be remarkably difficult. The current
state of the art has resorted to resource-intensive solutions that necessitate training model …

Data poisoning attacks manipulate training data to introduce unexpected behaviors into
machine learning models at training time. For text-to-image generative models with massive …

Perturbative availability poisoning (PAP) adds small changes to images to prevent their use
for model training. Current research adopts the belief that practical and effective approaches …