Tag: adversarial machine learning

Researchers in China have developed a deep neural network fingerprinting method that explicitly separates stolen model copies from independently trained ...

Researchers have developed a transition matrix-based framework that identifies the target classes of backdoor attacks in neural networks and sharply ...

Researchers at Soongsil University have developed a self-supervised, multi-view defense that detects label-flipping poisoning attacks in tabular machine learning by ...

Researchers have demonstrated a switchable backdoor attack that injects dual tokens through the layers of Vision Transformers, achieving up to ...

A new scientometric review maps the rapid rise of research combining genetic algorithms with generative adversarial networks, revealing explosive growth ...

Researchers have unveiled a data-level prompt injection attack that hijacks graph prompt learning systems by injecting a tiny fraction of ...