Search Results for author:
Found 3 papers, 3 papers with code
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
However, these methods still follow the design of traditional supervised adversarial training, limiting the potential of adversarial training on ViTs.
Label Inference Attacks Against Vertical Federated Learning
However, we discover that the bottom model structure and the gradient update mechanism of VFL can be exploited by a malicious participant to gain the power to infer the privately owned labels.
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
Then, we conduct a comprehensive and systematic review to categorize the state-of-the-art adversarial attacks against PE malware detection, as well as corresponding defenses to increase the robustness of Windows PE malware detection.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
