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: "sufficiently myopic adversaries are blind"
  Abstract: In this work we consider a communication problem in which a sender, Alice, wishes to communicate with a receiver, Bob, over a channel controlled by an adversarial jammer, James, who is {\em myopic}. Roughly speaking, for blocklength $n$, the codeword $X^n$ transmitted by Alice is corrupted by James who must base his adversarial decisions (of which locations of $X^n$ to corrupt and how to corrupt them) not on the codeword $X^n$ but on $Z^n$, an image of $X^n$ through a noisy memoryless channel. More specifically, our communication model may be described by two channels. A memoryless channel $p(z|x)$ from Alice to James, and an {\it Arbitrarily Varying Channel} from Alice to Bob, $p(y|x,s)$ governed by a state $X^n$ determined by James. In standard adversarial channels the states $S^n$ may depend on the codeword $X^n$, but in our setting $S^n$ depends only on James's view $Z^n$. #R##N#The myopic channel captures a broad range of channels and bridges between the standard models of memoryless and adversarial (zero-error) channels. In this work we present upper and lower bounds on the capacity of myopic channels. For a number of special cases of interest we show that our bounds are tight. We extend our results to the setting of {\em secure} communication in which we require that the transmitted message remain secret from James. For example, we show that if (i) James may flip at most a $p$ fraction of the bits communicated between Alice and Bob, and (ii) James views $X^n$ through a binary symmetric channel with parameter $q$, then once James is "sufficiently myopic" (in this case, when $q>p$), then the optimal communication rate is that of an adversary who is "blind" (that is, an adversary that does not see $X^n$ at all), which is $1-H(p)$ for standard communication, and $H(q)-H(p)$ for secure communication. A similar phenomenon exists for our general model of communication.

Connected through hyperedge HE-1 (induced by source paper "authentication against a myopic adversary"):
  with members:
    - "inner bound for the capacity region of noisy channels with an authentication requirement"
    - "quadratically constrained myopic adversarial channels"
    - "keyless authentication in the presence of a simultaneously transmitting adversary"

Connected through hyperedge HE-2 (induced by source paper "stealthy communication over adversarially jammed multipath networks"):
  with members:
    - "first and second order asymptotics in covert communication"
    - "embedding covert information in broadcast communications"
    - "covert communication over adversarially jammed channels"
    - "covert communication over a k user multiple access channel"
    - "quadratically constrained myopic adversarial channels"
    - "time division is optimal for covert communication over some broadcast channels"
    - "fundamental limits of communication with low probability of detection"
    - "covert communication over noisy channels a resolvability perspective"

Connected through hyperedge HE-3 (induced by source paper "list decoding random euclidean codes and infinite constellations"):
  with members:
    - "good distance lattices from high dimensional expanders"
    - "improved list decodability of random linear binary codes"
    - "quadratically constrained myopic adversarial channels"
    - "on the weight distribution of random binary linear codes"
    - "list decoding with double samplers"
    - "it ll probably work out improved list decoding through random operations"
    - "every list decodable code for high noise has abundant near optimal rate puncturings"
    - "on the list decodability of random linear codes with large error rates"

Connected through hyperedge HE-4 (induced by source paper "quadratically constrained myopic adversarial channels"):
  with members:
    - "list decoding random euclidean codes and infinite constellations"
    - "the arbitrarily varying gaussian relay channel with sender frequency division"
    - "covert communication over adversarially jammed channels"
    - "quadratically constrained channels with causal adversaries"
    - "a channel under simultaneous jamming and eavesdropping attack correlated random coding capacities under strong secrecy criteria"
    - "the benefit of a 1 bit jump start and the necessity of stochastic encoding in jamming channels"
    - "arbitrarily varying wiretap channels with type constrained states"
    - "the arbitrarily varying wiretap channel secret randomness stability and super activation"

Connected through hyperedge HE-5 (induced by source paper "covert communication over adversarially jammed channels"):
  with members:
    - "first and second order asymptotics in covert communication"
    - "quadratically constrained myopic adversarial channels"
    - "second order asymptotics in covert communication"
    - "fundamental limits of communication with low probability of detection"
    - "covert communication over noisy channels a resolvability perspective"
    - "quantum secure covert communication on bosonic channels"
    - "a characterization of the capacity of online causal binary channels"
    - "lpd communication when the warden does not know when"

Connected through hyperedge HE-6 (induced by source paper "communication over an arbitrarily varying channel under a state myopic encoder"):
  with members:
    - "coding for arbitrarily varying remote sources"
    - "communication in the presence of a state aware adversary"
    - "duality between channel capacity and rate distortion with two sided state information"

Connected through hyperedge HE-7 (induced by source paper "secure multi source multicast"):
  with members:
    - "universal secure multiplex network coding with dependent and non uniform messages"
    - "probability of partially solving random linear systems in network coding"
    - "probability of partially decoding network coded messages"
    - "can network coding bridge the digital divide in the pacific"
    - "weakly secure regenerating codes for distributed storage"
    - "network coding capacity regions via entropy functions"
    - "universal secure network coding via rank metric codes"
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"

Connected through hyperedge HE-8 (induced by source paper "on the capacity of the binary adversarial wiretap channel"):
  with members:
    - "semantic security capacity for wiretap channels of type ii"
    - "wiretap channels implications of the more capable condition and cyclic shift symmetry"
    - "invertible extractors and wiretap protocols"

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)