Technology
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
To bridge this gap, we model the strategic interactions between the defender and dynamic attackers as a minimax game. Based on the analysis of the game, we design an interactive defense mechanism FedGame. We prove that under mild assumptions, the global model trained with FedGame under backdoor attacks is close to that trained without attacks.
a64e641fa00a7eb9500cb7e1835d0495-Supplemental-Conference.pdf
Table A1: 3D semantic segmentation results on the SemanticKiTTI validation set. We implemented our method with Pytorch using the open-source OpenPCDet [1]. The faded strategy was used during the last 5 epochs. It provides 22 sequences with 19 semantic classes, captured by a 64-beam LiDAR sensor. The 4th and 5th models sequentially incorporate our proposed SED blocks and DED blocks. Center-based 3d object detection and tracking.