Summary of Fedgtst: Boosting Global Transferability Of Federated Models Via Statistics Tuning, by Evelyn Ma et al.
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuningby Evelyn Ma, Chao Pan, Rasoul…
Summary of Selection-p: Self-supervised Task-agnostic Prompt Compression For Faithfulness and Transferability, by Tsz Ting Chung et al.
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferabilityby Tsz Ting Chung, Leyang Cui, Lemao…
Summary of Graphclip: Enhancing Transferability in Graph Foundation Models For Text-attributed Graphs, by Yun Zhu et al.
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphsby Yun Zhu, Haizhou Shi, Xiaotang…
Summary of Distilling Invariant Representations with Dual Augmentation, by Nikolaos Giakoumoglou et al.
Distilling Invariant Representations with Dual Augmentationby Nikolaos Giakoumoglou, Tania StathakiFirst submitted to arxiv on: 12…
Summary of On the Adversarial Transferability Of Generalized “skip Connections”, by Yisen Wang et al.
On the Adversarial Transferability of Generalized “Skip Connections”by Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie…
Summary of Advdiffuser: Generating Adversarial Safety-critical Driving Scenarios Via Guided Diffusion, by Yuting Xie et al.
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusionby Yuting Xie, Xianda Guo, Cong Wang,…
Summary of Features Are Fate: a Theory Of Transfer Learning in High-dimensional Regression, by Javan Tahir et al.
Features are fate: a theory of transfer learning in high-dimensional regressionby Javan Tahir, Surya Ganguli,…
Summary of Non-transferable Pruning, by Ruyi Ding et al.
Non-transferable Pruningby Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi FeiFirst submitted to arxiv on:…
Summary of On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights From Random Matrix Theory, by Yangchun Zhang et al.
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theoryby Yangchun Zhang,…
Summary of Understanding Model Ensemble in Transferable Adversarial Attack, by Wei Yao et al.
Understanding Model Ensemble in Transferable Adversarial Attackby Wei Yao, Zeliang Zhang, Huayi Tang, Yong LiuFirst…