Asia
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference Ziang Li1, Mengda Y ang
To overcome these challenges, we propose a G AN-based LA tent S pace S earch attack ( GLASS) that harnesses abundant prior knowledge from public data using advanced StyleGAN technologies. Additionally, we introduce GLASS++ to enhance reconstruction stability.
Appendix for " Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization "
The main notations of this paper are summarized in Table 1. Table 1: Descriptions of the main notations used in this work.Notations Descriptions N, n the total number of clients and the total sample number of each client S, S We first introduce the lemmas which will be used in our proofs. Let e be the base of the natural logarithm. The stated result in Part (b) is proved. The optimization bound is given.
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization Jun Chen
We establish the first generalization error bound of FedZO under the Lipschitz continuity and smoothness conditions.
ExplorationbyLearningDiverseSkillsthrough SuccessorStateRepresentations
The ability to perform different skills can encourage agents to explore. In this work, we aim to construct a set of diverse skills that uniformly cover the state space.
