This paper considers the problem of high dimensional signal detection in a large distributed network whose nodes can collaborate with their one-hop neighboring nodes (spatial collaboration). We assume that only a small subset of nodes communicate with the Fusion Center (FC). We design optimal collaboration strategies which are universal for a class of deterministic signals. By establishing the equivalence between the collaboration strategy design problem and sparse PCA, we solve the problem efficiently and evaluate the impact of collaboration on detection performance.
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration
Fudan University（复旦大学）；Engineering Research Center of Cyber Security Auditing and Monitoring, Ministry of Education（教育部网络安全审计与监控工程研究中心）；Shanghai Blockchain Engineering Research Center（上海区块链工程研究中心）；Institute of Financial Technology, Fudan University（复旦大学金融科技研究院）
针对云边协同 VFL 二分类场景，提出无需额外数据的 UAB 干净标签后门攻击，通过交替优化通用触发器与子问题参数注入后门，在两个数据集上达到最高 100% 攻击性能且不损害主任务。
York University（约克大学）；University of Toronto（多伦多大学）；Kempner Institute, Harvard University（哈佛大学凯姆纳研究所）；Vector Institute（向量研究所）；Samsung AI Centre（三星人工智能中心）；Trajectory Labs（轨迹实验室）
MOSAIC: A Universal Agent-Level Interface for Cross-Paradigm Agent Mixing and Human-AI Collaboration
School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China（北京理工大学光学工程学院）；School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China（北京航空航天大学自动化科学与电气工程学院）；Faculty of Science, Ain Shams University, Cairo, Egypt（爱思唯命大学科学学院）
Sparse and Transferable Universal Singular Vectors Attack
Sber AI Lab（Sber AI实验室）；Skolkovo Institute of Science and Technology（斯科尔科沃科学技术学院）；Moscow Institute of Physics and Technology（莫斯科物理技术学院）；Artificial Intelligence Research Institute (AIRI)（人工智能研究院（AIRI））
Approximating the universal thermal climate index using sparse regression with orthogonal polynomials
Department of Knowledge Technologies, Jo z ef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia Faculty of Mathematics；Physics, University of Ljubljana, Jadranska ulica 19, 1000 Ljubljana, Slovenia
STREAM: A Universal State-Space Model for Sparse Geometric Data
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)（可扩展数据分析与人工智能中心（ScaDS.AI））；Centre for Tactile Internet (CeTI) with Human-in-the-Loop（人机协作触觉互联网中心（CeTI））；Royal Holloway, University of London（伦敦大学皇家霍洛威学院）；Bielefeld University（比勒费尔德大学）；TUD Dresden University of Technology（德累斯顿工业大学）；BITS Pilani（皮拉尼 Bits 大学）
Training-free Ultra Small Model for Universal Sparse Reconstruction in Compressed Sensing
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China（华中科技大学人工智能与自动化学院）；China Belt and Road Joint Lab on Measurement and Control Technology, Wuhan, China（中国一带一路测量与控制技术联合实验室）；School of Electric and Electrical Engineering, Chongqing University of Technology, Chongqing, China（重庆理工大学电气工程学院）；Optics Valley Laboratory, Wuhan, China（光谷实验室）；School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, China（郑州大学水利与交通学院）；School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China（华中科技大学软件工程学院）
