1 code implementation • 16 Mar 2024 • Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin
In response to these challenges, we propose Genetic Evolution-Nurtured Adversarial Fine-tuning (Gen-AF), a two-stage adversarial fine-tuning approach aimed at enhancing the robustness of downstream models.
no code implementations • 25 Feb 2024 • Ruijin Sun, Yao Wen, Nan Cheng, Wei Wan, Rong Chai, Yilong Hui
Task offloading is a potential solution to satisfy the strict requirements of computation-intensive and latency-sensitive vehicular applications due to the limited onboard computing resources.
no code implementations • 18 Dec 2023 • Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin
This attack unveils the vulnerabilities in SFL, challenging the conventional belief that SFL is robust against poisoning attacks.
1 code implementation • 15 Jul 2023 • Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin
Building on these insights, we explore the impacts of data augmentation and gradient regularization on transferability and identify that the trade-off generally exists in the various training mechanisms, thus building a comprehensive blueprint for the regulation mechanism behind transferability.
no code implementations • 16 May 2022 • Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi
In this work, we propose a deep learning based method to solve the dynamic optimal transport in high dimensional space.
no code implementations • 29 Dec 2021 • Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang
Then we propose a new byzantine attack method called weight attack to defeat those defense schemes, and conduct experiments to demonstrate its threat.
no code implementations • 22 Sep 2019 • Wei Wan, Jun Liu
By a maximum a posteriori (MAP) estimation, we formulate a new regularization term according to the log-likelihood function of the mixture model.