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: "discriminatory lossy source coding side information privacy"
  Abstract: A lossy source coding problem is studied in which a source encoder communicates with two decoders, one with and one without correlated side information with an additional constraint on the privacy of the side information at the uninformed decoder. Two cases of this problem arise depending on the availability of the side information at the encoder. The set of all feasible rate-distortion-equivocation tuples are characterized for both cases. The difference between the informed and uninformed cases and the advantages of encoder side information for enhancing privacy are highlighted for a binary symmetric source with erasure side information and Hamming distortion.

Connected through hyperedge HE-1 (induced by source paper "privacy aware distributed hypothesis testing"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "distributed hypothesis testing with privacy constraints"
    - "technical privacy metrics a systematic survey"
    - "distributed hypothesis testing based on unequal error protection codes"
    - "privacy against a hypothesis testing adversary"
    - "on the reliability function of distributed hypothesis testing under optimal detection"
    - "distributed hypothesis testing over discrete memoryless channels"
    - "hypothesis testing under mutual information privacy constraints in the high privacy regime"

Connected through hyperedge HE-2 (induced by source paper "distributed hypothesis testing with a privacy constraint"):
  with members:
    - "privacy aware smart metering progress and challenges"
    - "distributed hypothesis testing with privacy constraints"
    - "technical privacy metrics a systematic survey"
    - "distributed hypothesis testing based on unequal error protection codes"
    - "privacy against a hypothesis testing adversary"
    - "on the reliability function of distributed hypothesis testing under optimal detection"
    - "hypothesis testing under mutual information privacy constraints in the high privacy regime"
    - "on binary distributed hypothesis testing"

Connected through hyperedge HE-3 (induced by source paper "principal inertia components and applications"):
  with members:
    - "brascamp lieb inequality and its reverse an information theoretic view"
    - "the most informative boolean function conjecture holds for high noise"
    - "bounds between contraction coefficients"
    - "on the duality of additivity and tensorization"
    - "managing your private and public data bringing down inference attacks against your privacy"
    - "remarks on the most informative function conjecture at fixed mean"
    - "euclidean information theory of networks"
    - "notes on information theoretic privacy"

Connected through hyperedge HE-4 (induced by source paper "privacy constrained remote source coding"):
  with members:
    - "lossless secure source coding yamamoto s setting"
    - "from the information bottleneck to the privacy funnel"
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "on secure source coding with side information at the encoder"
    - "rate distortion theory for secrecy systems"
    - "privacy against statistical inference"
    - "multiterminal source coding under logarithmic loss"

Connected through hyperedge HE-5 (induced by source paper "privacy aware mmse estimation"):
  with members:
    - "on the duality of additivity and tensorization"
    - "on maximal correlation mutual information and data privacy"
    - "notes on information theoretic privacy"
    - "information extraction under privacy constraints"
    - "key capacity for product sources with application to stationary gaussian processes"
    - "from the information bottleneck to the privacy funnel"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "bounds on inference"

Connected through hyperedge HE-6 (induced by source paper "information extraction under privacy constraints"):
  with members:
    - "on maximal correlation mutual information and data privacy"
    - "lossless secure source coding yamamoto s setting"
    - "notes on information theoretic privacy"
    - "maximal correlation secrecy"
    - "extremal mechanisms for local differential privacy"
    - "from the information bottleneck to the privacy funnel"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "bounds on inference"

Connected through hyperedge HE-7 (induced by source paper "the ceo problem with secrecy constraints"):
  with members:
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "on secure source coding with side information at the encoder"
    - "secure source coding with a public helper"
    - "rate distortion theory for secrecy systems"
    - "multiterminal source coding under logarithmic loss"
    - "secure lossy source coding with side information at the decoders"
    - "secure source coding with a helper"
    - "secure lossless compression with side information"

Connected through hyperedge HE-8 (induced by source paper "secure transmission of sources over noisy channels with side information at the receivers"):
  with members:
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "secure lossy source coding with side information at the decoders"
    - "lecture notes on network information theory"
    - "capacity regions of two new classes of 2 receiver broadcast channels"
    - "joint source channel coding with side information using hybrid digital analog codes"
    - "two way source coding with a helper"
    - "shannon s secrecy system with informed receivers and its application to systematic coding for wiretapped channels"

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)