9 citations · 23 across the 4 of their papers we have counts for
4 papers
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection
Lan Zhang, Peng Liu, Yoon-Ho Choi +1
As an increasing number of deep-learning-based malware scanners have been proposed, the existing evasion techniques, including code obfuscation and polymorphic malware, are found t…
Enhancing the Performance of Practical Profiling Side-Channel Attacks Using Conditional Generative Adversarial Networks
Ping Wang, Ping Chen, Zhimin Luo +4
Recently, many profiling side-channel attacks based on Machine Learning and Deep Learning have been proposed. Most of them focus on reducing the number of traces required for succe…
ROPNN: Detection of ROP Payloads Using Deep Neural Networks
Xusheng Li, Zhisheng Hu, Haizhou Wang +4
Return-oriented programming (ROP) is a code reuse attack that chains short snippets of existing code to perform arbitrary operations on target machines. Existing detection methods…
Instantly Obsoleting the Address-code Associations: A New Principle for Defending Advanced Code Reuse Attack
Ping Chen, Jun Xu, Jun Wang +1
Fine-grained Address Space Randomization has been considered as an effective protection against code reuse attacks such as ROP/JOP. However, it only employs a one-time randomizatio…