157 citations · 223 across the 7 of their papers we have counts for
7 papers
Adaptive White-Box Watermarking with Self-Mutual Check Parameters in Deep Neural Networks
Zhenzhe Gao, Zhaoxia Yin, Hongjian Zhan +2
Artificial Intelligence (AI) has found wide application, but also poses risks due to unintentional or malicious tampering during deployment. Regular checks are therefore necessary…
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Jiawei Chen, Xiao Yang, Heng Yin +6
Ensuring the reliability of face recognition systems against presentation attacks necessitates the deployment of face anti-spoofing techniques. Despite considerable advancements in…
Decision-based iterative fragile watermarking for model integrity verification
Zhaoxia Yin, Heng Yin, Hang Su +2
Typically, foundation models are hosted on cloud servers to meet the high demand for their services. However, this exposes them to security risks, as attackers can modify them afte…
Neural network fragile watermarking with no model performance degradation
Zhaoxia Yin, Heng Yin, Xinpeng Zhang
Deep neural networks are vulnerable to malicious fine-tuning attacks such as data poisoning and backdoor attacks. Therefore, in recent research, it is proposed how to detect malici…
PalmTree: Learning an Assembly Language Model for Instruction Embedding
Xuezixiang Li, Qu Yu, Heng Yin
Deep learning has demonstrated its strengths in numerous binary analysis tasks, including function boundary detection, binary code search, function prototype inference, value set a…
Boosting Adversarial Attacks on Neural Networks with Better Optimizer
Heng Yin, Hengwei Zhang, Jindong Wang +1
Convolutional neural networks have outperformed humans in image recognition tasks, but they remain vulnerable to attacks from adversarial examples. Since these data are crafted by…
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
Wei Song, Xuezixiang Li, Sadia Afroz +3
Modern commercial antivirus systems increasingly rely on machine learning to keep up with the rampant inflation of new malware. However, it is well-known that machine learning mode…