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: "non asymptotic analysis of privacy amplification via renyi entropy and inf spectral entropy"
  Abstract: This paper investigates the privacy amplification problem, and compares the existing two bounds: the exponential bound derived by one of the authors and the min-entropy bound derived by Renner. It turns out that the exponential bound is better than the min-entropy bound when a security parameter is rather small for a block length, and that the min-entropy bound is better than the exponential bound when a security parameter is rather large for a block length. Furthermore, we present another bound that interpolates the exponential bound and the min-entropy bound by a hybrid use of the Renyi entropy and the inf-spectral entropy.

Connected through hyperedge HE-1 (induced by source paper "two way physical layer security protocol for gaussian channels"):
  with members:
    - "semi finite length analysis for information theoretic tasks"
    - "a survey of physical layer security techniques for 5g wireless networks and challenges ahead"
    - "physical layer security for rf satellite channels in the finite length regime"
    - "wiretap channels nonasymptotic fundamental limits"
    - "quantum inspired secure wireless communication protocol under spatial and local gaussian noise assumptions"
    - "secure wireless communication under spatial and local gaussian noise assumptions"
    - "numerical study on secrecy capacity and code length dependence of the performances in optical wiretap channels"
    - "the wiretap channel with generalized feedback secure communication and key generation"

Connected through hyperedge HE-2 (induced by source paper "on privacy amplification lossy compression and their duality to channel coding"):
  with members:
    - "wiretap channels nonasymptotic fundamental limits"
    - "uniform random number generation from markov chains non asymptotic and asymptotic analyses"
    - "alignment of polarized sets"
    - "e_ gamma resolvability"
    - "approaching the rate distortion limit with spatial coupling belief propagation and decimation"
    - "non asymptotic output statistics of random binning and its applications"
    - "tight exponential analysis of universally composable privacy amplification and its applications"
    - "fixed length lossy compression in the finite blocklength regime"

Connected through hyperedge HE-3 (induced by source paper "wiretap channels nonasymptotic fundamental limits"):
  with members:
    - "exact random coding secrecy exponents for the wiretap channel"
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "soft covering with high probability"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "semantic security capacity for wiretap channels of type ii"
    - "a stronger soft covering lemma and applications"
    - "the third order term in the normal approximation for the awgn channel"
    - "converses for secret key agreement and secure computing"

Connected through hyperedge HE-4 (induced by source paper "finite blocklength bounds for wiretap channels"):
  with members:
    - "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"
    - "e_ gamma resolvability"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "the third order term in the normal approximation for the awgn channel"
    - "on the secrecy exponent of the wire tap channel"
    - "converses for secret key agreement and secure computing"
    - "information spectrum approach to strong converse theorems for degraded wiretap channels"
    - "strong converse for a degraded wiretap channel via active hypothesis testing"

Connected through hyperedge HE-5 (induced by source paper "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"):
  with members:
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "uniform random number generation from markov chains non asymptotic and asymptotic analyses"
    - "equivocations exponents and second order coding rates under various r enyi information measures"
    - "non asymptotic and asymptotic analyses of information processing on markov chains"
    - "tight exponential analysis of universally composable privacy amplification and its applications"
    - "secret key generation from gaussian sources using lattice hashing"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "strongly secure communications over the two way wiretap channel"

Connected through hyperedge HE-6 (induced by source paper "uniform random number generation from markov chains non asymptotic and asymptotic analyses"):
  with members:
    - "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"
    - "second order coding rates for channels with state"
    - "non asymptotic and asymptotic analyses of information processing on markov chains"
    - "second order resolvability intrinsic randomness and fixed length source coding for mixed sources information spectrum approach"
    - "tight exponential analysis of universally composable privacy amplification and its applications"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "universal strongly secure network coding with dependent and non uniform messages"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"

Connected through hyperedge HE-7 (induced by source paper "converses for secret key agreement and secure computing"):
  with members:
    - "secret key capacity for multipleaccess channel with public feedback"
    - "interactive communication for data exchange"
    - "information complexity density and simulation of protocols"
    - "secret key agreement general capacity and second order asymptotics"
    - "assisted common information with an application to secure two party sampling"
    - "a new upperbound for the oblivious transfer capacity of discrete memoryless channels"
    - "strong converse for a degraded wiretap channel via active hypothesis testing"
    - "on the efficiency of classical and quantum secure function evaluation"

Connected through hyperedge HE-8 (induced by source paper "non asymptotic and asymptotic analyses of information processing on markov chains"):
  with members:
    - "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"
    - "second order coding rates for channels with state"
    - "the saddlepoint approximation unified random coding asymptotics for fixed and varying rates"
    - "mismatched decoding error exponents second order rates and saddlepoint approximations"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"
    - "information spectrum approach to second order coding rate in channel coding"
    - "second order asymptotics in fixed length source coding and intrinsic randomness"

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)