Inductive Graph Unlearning
Authors: Cheng-Long Wang, Mengdi Huai, Di Wang | Published: 2023-04-06 | Updated: 2023-04-07
Experimental Validation
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Authors: Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala | Published: 2022-09-02
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
Authors: Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu | Published: 2022-09-02
CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach
Authors: Junyi Liu, Yifu Tang, Haimeng Zhao, Xieheng Wang, Fangyu Li, Jingyi Zhang | Published: 2022-09-01
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits
Authors: Marco Schreyer, Timur Sattarov, Damian Borth | Published: 2022-08-26
Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks
Authors: Aline R. Ioste, Alan M. Durham, Marcelo Finger | Published: 2022-04-30
Improving Differential-Neural Distinguisher Model For DES, Chaskey, and PRESENT
Authors: Liu Zhang, Zilong Wang | Published: 2022-04-13
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
Authors: Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris | Published: 2021-11-30 | Updated: 2022-02-02
Subsequent embedding in targeted image steganalysis: Theoretical framework and practical applications
Authors: David Megías, Daniel Lerch-Hostalot | Published: 2021-07-29 | Updated: 2022-03-15
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
Authors: Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu | Published: 2020-04-10