4 accepted papers
The takeaway recommendation system aims to recommend users' future takeaway purchases based on their historical purchase behaviors, thereby improving user satisfaction and boosting merchant sales. Existing methods focus on incorporating auxiliary information or leveraging knowledge graphs to allevia…
Leveraging deep learning to detect malicious network traffic is a crucial technology in network management and network security. However, deep learning security has raised concerns among scholars. In this work, we explore executing targeted adversarial attacks for multi-classification malicious traf…
Zero-shot stance detection on social media (ZSSD-SM) aims to distinguish the attitude in tweets towards an unseen target. Previous work capture latent variables between source and target domains to perform this task, but the lack of context knowledge hinders the detection performance. Recent studies…
Malicious traffic detection is important for the safe operation of cyberspace. Existing methods are difficult to extract discriminative features, leading to the detection rate bottleneck. In addition, the performance is significantly degraded in sample imbalanced scenarios, with poor generalization…