共 50 条
- [1] FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks 45TH IEEE SYMPOSIUM ON SECURITY AND PRIVACY, SP 2024, 2024, : 2572 - 2590
- [2] Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 9524 - 9532
- [3] HINT: Healthy Influential -Noise based Training to Defend against Data Poisoning Attacks 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023, 2023, : 608 - 617
- [4] FLOW: A Robust Federated Learning Framework to Defend Against Model Poisoning Attacks in IoT IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (09): : 15075 - 15086
- [10] Defend Against Invaders P C Magazine: The Independent Guide to IBM - Standard Personal Computers, 17 (06):