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: "on the compositionality of quantitative information flow"
  Abstract: In the min-entropy approach to quantitative information flow, the leakage is defined in terms of a minimization problem, which, in the case of large systems, can be computationally rather heavy. The same happens for the recently proposed generalization called g-vulnerability. In this paper we study the case in which the channel associated to the system can be decomposed into simpler channels, which typically happens when the observables consist of multiple components. Our main contribution is the derivation of bounds on the g-leakage of the whole system in terms of the g-leakages of its components. We also consider the particular cases of min-entropy leakage and of parallel channels, generalizing and systematizing results from the literature. We demonstrate the effectiveness of our method and evaluate the precision of our bounds using examples.

Connected through hyperedge HE-1 (induced by source paper "local obfuscation mechanisms for hiding probability distributions"):
  with members:
    - "local distribution obfuscation via probability coupling"
    - "profile based privacy for locally private computations"
    - "generalised differential privacy for text document processing"
    - "utility optimized local differential privacy mechanisms for distribution estimation"
    - "pufferfish privacy mechanisms for correlated data"
    - "rappor randomized aggregatable privacy preserving ordinal response"
    - "optimal geo indistinguishable mechanisms for location privacy"
    - "differential privacy an economic method for choosing epsilon"

Connected through hyperedge HE-2 (induced by source paper "local distribution obfuscation via probability coupling"):
  with members:
    - "local obfuscation mechanisms for hiding probability distributions"
    - "sok differential privacies"
    - "profile based privacy for locally private computations"
    - "utility optimized local differential privacy mechanisms for distribution estimation"
    - "renyi differential privacy"
    - "differential privacy as a mutual information constraint"
    - "concentrated differential privacy"
    - "rappor randomized aggregatable privacy preserving ordinal response"

Connected through hyperedge HE-3 (induced by source paper "hybrid statistical estimation of mutual information and its application to information flow"):
  with members:
    - "what s the over under probabilistic bounds on information leakage"
    - "a game theoretic approach to information flow control via protocol composition"
    - "information leakage games"
    - "quantitative information flow for scheduler dependent systems"
    - "speeding up smt based quantitative program analysis"
    - "a scalable approximate model counter"
    - "quantitative information flow as safety and liveness hyperproperties"

Connected through hyperedge HE-4 (induced by source paper "leakage and protocol composition in a game theoretic perspective"):
  with members:
    - "information leakage games"
    - "quantitative information flow under generic leakage functions and adaptive adversaries"
    - "type based self stabilisation for computational fields"
    - "security games with information leakage modeling and computation"
    - "calibrating data to sensitivity in private data analysis"
    - "stackelberg vs nash in security games an extended investigation of interchangeability equivalence and uniqueness"

Connected through hyperedge HE-5 (induced by source paper "an algebraic approach for reasoning about information flow"):
  with members:
    - "leakage and protocol composition in a game theoretic perspective"
    - "quantitative information flow under generic leakage functions and adaptive adversaries"
    - "compositional closure for bayes risk in probabilistic noninterference"

Connected through hyperedge HE-6 (induced by source paper "a game theoretic approach to information flow control via protocol composition"):
  with members:
    - "quantitative information flow under generic leakage functions and adaptive adversaries"
    - "stackelberg vs nash in security games an extended investigation of interchangeability equivalence and uniqueness"

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.LO(Logic in Computer Science)