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MassNet is an artificial intelligence (AI)-ready data corpus for mass spectrometry (MS)-based proteomics, and XuanjiNovo, a nonautoregressive transformer model that leverages a curriculum learning strategy for de novo peptide sequencing is developed.
Adversarial purification can be dramatically improved by focusing on patch-level semantics, leading to state-of-the-art performance in defending against adversarial attacks.
Aha-moment-driven backdoor attacks can redirect reasoning in VLMs while preserving output coherence, making them harder to detect.