human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "ecgadv generating adversarial electrocardiogram to misguide arrhythmia classification system"
  Abstract: Deep neural networks (DNNs)-powered Electrocardiogram (ECG) diagnosis systems emerge recently, and are expected to take over tedious examinations by cardiologists. However, their vulnerability to adversarial attacks still lack of comprehensive investigation. ECG recordings differ from images in the visualization, dynamic property and accessibility, thus, the existing image-targeted attack may not directly applicable. To fill this gap, this paper proposes ECGadv to explore the feasibility of adversarial attacks on arrhythmia classification system. We identify the main issues under two different deployment models(i.e., cloud-based and local-based) and propose effective attack schemes respectively. Our results demonstrate the blind spots of DNN-powered diagnosis system under adversarial attacks, which facilitates future researches on countermeasures.

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.LG(Machine Learning)