3 papers
cs.CR2024
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
Depeng Chen, Hao Chen, Hulin Jin +2
Membership inference attacks (MIAs) are critical tools for assessing privacy risks and ensuring compliance with regulations like the General Data Protection Regulation (GDPR). Howe…
cs.LG2024
CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning
Depeng Chen, Xiao Liu, Jie Cui +1
Since machine learning model is often trained on a limited data set, the model is trained multiple times on the same data sample, which causes the model to memorize most of the tra…
cs.CR2024
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
Zhaoyi Meng, Jiale Zhang, Jiaqi Guo +5
Deep learning has emerged as a promising technology for achieving Android malware detection. To further unleash its detection potentials, software visualization can be integrated f…