共 9 条
- [1] On defending against label flipping attacks on malware detection systems Neural Computing and Applications, 2020, 32 : 14781 - 14800
- [2] On defending against label flipping attacks on malware detection systems NEURAL COMPUTING & APPLICATIONS, 2020, 32 (18): : 14781 - 14800
- [3] On defending against label flipping attacks on malware detection systems (vol 61, pg 531, 2020) NEURAL COMPUTING & APPLICATIONS, 2020,
- [4] Data Sanitization Approach to Mitigate Clean-Label Attacks Against Malware Detection Systems 2022 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM), 2022,
- [5] Systematic Analysis of Label-flipping Attacks against Federated Learning in Collaborative Intrusion Detection Systems 19TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY, AND SECURITY, ARES 2024, 2024,
- [6] Sparse regressions and particle swarm optimization in training high-order Takagi-Sugeno fuzzy systems (Jul, 10.1007/s00521-020-05230-w, 2020) NEURAL COMPUTING & APPLICATIONS, 2021, 33 (05): : 1745 - 1745
- [8] Correction to: Defending against product-oriented cyber-physical attacks on machining systems (The International Journal of Advanced Manufacturing Technology, (2019), 10.1007/s00170-019-03805-z) International Journal of Advanced Manufacturing Technology, 2019, 105 (09): : 3851 - 3852