Shengli Pan

The paper proposes RPM-Net, a novel framework using a reciprocal point mechanism and adversarial margin constraints to achieve superior detection of unknown network security threats in imbalanced multi-class environments.

Vol-Mark proposes a robust, reversible-zero watermarking technique for 3D medical volume data, achieving high accuracy in verifying ownership and integrity even after various types of attacks.