3 papers
cs.CR2025
Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models
Zuquan Peng, Jianming Fu, Lixin Zou +3
The use of unvetted third-party and internet data renders pre-trained models susceptible to backdoor attacks. Detecting backdoor samples is critical to prevent backdoor activation…
cs.LG2025
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
Maolin Wang, Tianshuo Wei, Sheng Zhang +6
Neural Architecture Search (NAS) has emerged as a powerful approach for automating neural network design. However, existing NAS methods face critical limitations in real-world depl…
cs.IR2025
Flow Matching based Sequential Recommender Model
Feng Liu, Lixin Zou, Xiangyu Zhao +5
Generative models, particularly diffusion model, have emerged as powerful tools for sequential recommendation. However, accurately modeling user preferences remains challenging due…