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: "the internet of battle things"
  Abstract: The battlefield of the future will be densely populated by a variety of entities ("things") -- some intelligent and some only marginally so -- performing a broad range of tasks: sensing, communicating, acting, and collaborating with each other and human warfighters. We call this the Internet of Battle Things, IoBT. In some ways, IoBT is already becoming a reality, but 20-30 years from now it is likely to become a dominant presence in warfare. To become a reality, however, this bold vision will have to overcome a number of major challenges. As one example of such a challenge, the communications among things will have to be flexible and adaptive to rapidly changing situations and military missions. In this paper, we explore this and several other major challenges of IoBT, and outline key research directions and approaches towards solving these challenges.

Connected through hyperedge HE-1 (induced by source paper "intelligent autonomous things on the battlefield"):
  with members:
    - "adversarial examples are not easily detected bypassing ten detection methods"
    - "robust adversarial reinforcement learning"
    - "squeezenet alexnet level accuracy with 50x fewer parameters and 0 5mb model size"
    - "model agnostic meta learning for fast adaptation of deep networks"
    - "how do you command an army of intelligent things"
    - "se3 nets learning rigid body motion using deep neural networks"
    - "practical black box attacks against machine learning"
    - "end to end learning for self driving cars"

Connected through hyperedge HE-2 (induced by source paper "when autonomous intelligent goodware will fight autonomous intelligent malware a possible future of cyber defense"):
  with members:
    - "autonomous intelligent cyber defense agent aica reference architecture release 2 0"
    - "toward intelligent autonomous agents for cyber defense report of the 2017 workshop by the north atlantic treaty organization nato research group ist 152 rtg"

Connected through hyperedge HE-3 (induced by source paper "features and operation of an autonomous agent for cyber defense"):
  with members:
    - "how do you command an army of intelligent things"

Connected through hyperedge HE-4 (induced by source paper "a dynamic jamming game for real time status updates"):
  with members:
    - "age optimal updates of multiple information flows"
    - "information aging through queues a mutual information perspective"
    - "sending information through status updates"
    - "scheduling status updates to minimize age of information with an energy harvesting sensor"
    - "dynamic connectivity game for adversarial internet of battlefield things systems"
    - "age optimal information updates in multihop networks"
    - "remote estimation of the wiener process over a channel with random delay"
    - "update or wait how to keep your data fresh"

Connected through hyperedge HE-5 (induced by source paper "intelligent autonomous agents are key to cyber defense of the future army networks"):
  with members:
    - "autonomous intelligent cyber defense agent aica reference architecture release 2 0"
    - "challenges and characteristics of intelligent autonomy for internet of battle things in highly adversarial environments"
    - "how do you command an army of intelligent things"
    - "the limitations of deep learning in adversarial settings"

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.CY(Computers and Society)