Summary of Not All Prompts Are Secure: a Switchable Backdoor Attack Against Pre-trained Vision Transformers, by Sheng Yang et al.
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformersby Sheng Yang,…
Summary of Distributed Event-based Learning Via Admm, by Guner Dilsad Er et al.
Distributed Event-Based Learning via ADMMby Guner Dilsad Er, Sebastian Trimpe, Michael MuehlebachFirst submitted to arxiv…
Summary of Harnessing Collective Structure Knowledge in Data Augmentation For Graph Neural Networks, by Rongrong Ma et al.
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networksby Rongrong Ma, Guansong Pang,…
Summary of Asynchronous Federated Stochastic Optimization For Heterogeneous Objectives Under Arbitrary Delays, by Charikleia Iakovidou et al.
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delaysby Charikleia Iakovidou, Kibaek KimFirst submitted…
Summary of Estimating a Function and Its Derivatives Under a Smoothness Condition, by Eunji Lim
Estimating a Function and Its Derivatives Under a Smoothness Conditionby Eunji LimFirst submitted to arxiv…
Summary of Relational Dnn Verification with Cross Executional Bound Refinement, by Debangshu Banerjee et al.
Relational DNN Verification With Cross Executional Bound Refinementby Debangshu Banerjee, Gagandeep SinghFirst submitted to arxiv…
Summary of Low-rank Adaptation Of Time Series Foundational Models For Out-of-domain Modality Forecasting, by Divij Gupta et al.
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecastingby Divij Gupta, Anubhav Bhatti,…
Summary of Gpt Store Mining and Analysis, by Dongxun Su et al.
GPT Store Mining and Analysisby Dongxun Su, Yanjie Zhao, Xinyi Hou, Shenao Wang, Haoyu WangFirst…
Summary of Enadpool: the Edge-node Attention-based Differentiable Pooling For Graph Neural Networks, by Zhehan Zhao et al.
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networksby Zhehan Zhao, Lu Bai, Lixin…
Summary of Fine-tuning Large Vision-language Models As Decision-making Agents Via Reinforcement Learning, by Yuexiang Zhai et al.
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learningby Yuexiang Zhai, Hao Bai, Zipeng…