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: "smart meter privacy for multiple users in the presence of an alternative energy source"
  Abstract: Smart meters (SMs) measure and report users' energy consumption to the utility provider (UP) in almost real-time, providing a much more detailed depiction of the consumer's energy consumption compared to their analog counterparts. This increased rate of information flow to the UP, together with its many potential benefits, raise important concerns regarding user privacy. This work investigates, from an information theoretic perspective, the privacy that can be achieved in a multi-user SM system in the presence of an alternative energy source (AES). To measure privacy, we use the mutual information rate between the users' real energy consumption profile and the SM readings that are available to the UP. The objective is to characterize the \textit{privacy-power function}, defined as the minimal information leakage rate that can be obtained with an average power limited AES. We characterize the privacy-power function in a single-letter form when the users' energy demands are assumed to be independent and identically distributed over time. Moreover, for binary and exponentially distributed energy demands, we provide an explicit characterization of the privacy-power function. For any discrete energy demands, we demonstrate that the privacy-power function can always be efficiently evaluated numerically. Finally, for continuous energy demands, we derive an explicit lower-bound on the privacy-power function, which is tight for exponentially distributed loads.

Connected through hyperedge HE-1 (induced by source paper "universal mutual information privacy guarantees for smart meters"):
  with members:
    - "a tunable measure for information leakage"
    - "privacy aware smart metering progress and challenges"
    - "joint privacy cost optimization in smart electricity metering systems"
    - "information theoretic analysis of generalization capability of learning algorithms"
    - "smart meter privacy via the trapdoor channel"
    - "smart meter privacy with renewable energy and a finite capacity battery"
    - "smart meter privacy a utility privacy framework"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-2 (induced by source paper "privacy cost trade off in a smart meter system with a renewable energy source and a rechargeable battery"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "smart meter privacy via the trapdoor channel"
    - "privacy protecting energy management unit through model distribution predictive control"
    - "smart meter privacy with renewable energy and a finite capacity battery"
    - "information theoretic privacy for smart metering systems with a rechargeable battery"
    - "increasing smart meter privacy through energy harvesting and storage devices"

Connected through hyperedge HE-3 (induced by source paper "user centric multiobjective approach to privacy preservation and energy cost minimization in smart home"):
  with members:
    - "a multiobjective approach to multimicrogrid system design"
    - "multiobjective controller design by solving a multiobjective matrix inequality problem"
    - "increasing smart meter privacy through energy harvesting and storage devices"

Connected through hyperedge HE-4 (induced by source paper "privacy against a hypothesis testing adversary"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "hypothesis testing under mutual information privacy constraints in the high privacy regime"
    - "synthesizing robust adversarial examples"
    - "hypothesis testing in the high privacy limit"
    - "adversarial machine learning at scale"
    - "source distinguishability under distortion limited attack an optimal transport perspective"
    - "design of binary quantizers for distributed detection under secrecy constraints"
    - "on the relation between identifiability differential privacy and mutual information privacy"

Connected through hyperedge HE-5 (induced by source paper "privacy aware smart metering progress and challenges"):
  with members:
    - "optimal demand side management for joint privacy cost optimization with energy storage"
    - "smart meter privacy via the trapdoor channel"
    - "privacy protecting energy management unit through model distribution predictive control"
    - "information theoretic privacy for smart metering systems with a rechargeable battery"
    - "privacy optimal strategies for smart metering systems with a rechargeable battery"
    - "smart meter privacy with an energy harvesting device and instantaneous power constraints"
    - "the uk dale dataset domestic appliance level electricity demand and whole house demand from five uk homes"
    - "increasing smart meter privacy through energy harvesting and storage devices"

Connected through hyperedge HE-6 (induced by source paper "joint privacy cost optimization in smart electricity metering systems"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "optimal demand side management for joint privacy cost optimization with energy storage"
    - "privacy protecting energy management unit through model distribution predictive control"
    - "information theoretic privacy for smart metering systems with a rechargeable battery"
    - "the uk dale dataset domestic appliance level electricity demand and whole house demand from five uk homes"

Connected through hyperedge HE-7 (induced by source paper "on perfect privacy and maximal correlation"):
  with members:
    - "privacy utility tradeoffs under constrained data release mechanisms"
    - "notes on information theoretic privacy"
    - "from the information bottleneck to the privacy funnel"
    - "on maximal correlation hypercontractivity and the data processing inequality studied by erkip and cover"
    - "information theory of dna shotgun sequencing"
    - "privacy against statistical inference"

Connected through hyperedge HE-8 (induced by source paper "smart meter privacy with renewable energy and a storage device"):
  with members:
    - "privacy protecting energy management unit through model distribution predictive control"
    - "sdp relaxation with randomized rounding for energy disaggregation"
    - "privacy optimal strategies for smart metering systems with a rechargeable battery"
    - "smart meter privacy with an energy harvesting device and instantaneous power constraints"
    - "increasing smart meter privacy through energy harvesting and storage devices"

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.IT(Information Theory)