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Chunhua Wu

2 accepted papers

2026

CTX-Coder: Cross-Attention Architectures Empower LLMs for Long-Context Vulnerability Detection

AAAI 2026technical

Software vulnerabilities have increased sharply, underscoring the growing urgency for effective detection methods. Although large language model (LLM) based methods have shown promise in this task, current state-of-the-art LLM approaches struggle with functions that have long contexts. In this pape

Cited by 1SourcePDFScholar
2026

SAFE: Semantic- and Frequency-Enhanced Curriculum for Cross-Domain Deepfake Detection

AAAI 2026technical

Driven by advances in GANs and diffusion models, deepfake content has reached an unprecedented level of photorealism, causing detectors to deteriorate once they leave their training domain. Most prior studies adopt CLIP as the backbone of an image-level binary classifier, yet overlook CLIP’s core st

Cited by 0SourcePDFScholar