3 papers
cs.CR2026
Cert-SSBD: Certified Backdoor Defense with Sample-Specific Smoothing Noises
Ting Qiao, Yingjia Wang, Xing Liu +3
Deep neural networks (DNNs) are vulnerable to backdoor attacks, where an attacker manipulates a small portion of the training data to implant hidden backdoors into the model. The c…
cs.CR2025
SSCL-BW: Sample-Specific Clean-Label Backdoor Watermarking for Dataset Ownership Verification
Yingjia Wang, Ting Qiao, Xing Liu +3
The rapid advancement of deep neural networks (DNNs) heavily relies on large-scale, high-quality datasets. However, unauthorized commercial use of these datasets severely violates…
cs.CE2025
A Trust-Aware and Cost-Optimized Blockchain Oracle Selection Model with Deep Reinforcement Learning
Hengyang Zhang, Shike Li, Hang Bao +2
The rapid development of blockchain technology has driven the widespread application of decentralized applications (DApps) across various fields. However, DApps cannot directly acc…