7 citations · 9 across the 8 of their papers we have counts for
3 papers · 1 filter
TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement
Xinxin Fan, Wenxiong Chen, Quanliang Jing +4
Graph adversarial attacks are usually produced from the two perspectives of topology/structure and node feature, both of them represent the paramount characteristics learned by tod…
FastFHE: Packing-Scalable and Depthwise-Separable CNN Inference Over FHE
Wenbo Song, Xinxin Fan, Quanliang Jing +5
The deep learning (DL) has been penetrating daily life in many domains, how to keep the DL model inference secure and sample privacy in an encrypted environment has become an urgen…
Adversarial Pre-Padding: Generating Evasive Network Traffic Against Transformer-Based Classifiers
Quanliang Jing, Xinxin Fan, Yanyan Liu +1
To date, traffic obfuscation techniques have been widely adopted to protect network data privacy and security by obscuring the true patterns of traffic. Nevertheless, as the pre-tr…