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cs.CR2025
A Model Stealing Attack Against Multi-Exit Networks
Li Pan, Lv Peizhuo, Chen Kai +3
Compared to traditional neural networks with a single output channel, a multi-exit network has multiple exits that allow for early outputs from the model's intermediate layers, thu…
cs.CR2024
AuthNet: Neural Network with Integrated Authentication Logic
Yuling Cai, Fan Xiang, Guozhu Meng +2
Model stealing, i.e., unauthorized access and exfiltration of deep learning models, has become one of the major threats. Proprietary models may be protected by access controls and…
cs.CR2024
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning
Peizhuo Lv, Pan Li, Shenchen Zhu +9
Recent years have witnessed tremendous success in Self-Supervised Learning (SSL), which has been widely utilized to facilitate various downstream tasks in Computer Vision (CV) and…