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: "broadcast channels with privacy leakage constraints"
  Abstract: The broadcast channel (BC) with one common and two private messages with leakage constraints is studied, where leakage rate refers to the normalized mutual information between a message and a channel symbol string. Each private message is destined for a different user and the leakage rate to the other receiver must satisfy a constraint. This model captures several scenarios concerning secrecy, i.e., when both, either or neither of the private messages are secret. Inner and outer bounds on the leakage-capacity region are derived when the eavesdropper knows the codebook. The inner bound relies on a Marton-like code construction and the likelihood encoder. A uniform approximation lemma is established that states that the marginal distribution induced by the encoder on each of the bins in the Marton codebook is approximately uniform. Without leakage constraints the inner bound recovers Marton’s region and the outer bound reduces to the UVW-outer bound. The bounds match for semi-deterministic (SD) and physically degraded (PD) BCs, as well as for BCs with a degraded message set. The leakage-capacity regions of the SD-BC and the BC with a degraded message set recover past results for different secrecy scenarios. A Blackwell BC example illustrates the results and shows how its leakage-capacity region changes from the capacity region without secrecy to the secrecy-capacity regions for different secrecy scenarios.

Connected through hyperedge HE-1 (induced by source paper "strong secrecy for cooperative broadcast channels"):
  with members:
    - "fourier motzkin elimination software for information theoretic inequalities"
    - "the likelihood encoder for lossy compression"
    - "duality of a source coding problem and the semi deterministic broadcast channel with rate limited cooperation"
    - "semantic security capacity for wiretap channels of type ii"
    - "secrecy capacity region of some classes of wiretap broadcast channels"
    - "on state dependent broadcast channels with cooperation"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"
    - "secure coordination with a two sided helper"

Connected through hyperedge HE-2 (induced by source paper "mimo gaussian broadcast channels with common private and confidential messages"):
  with members:
    - "the capacity region of the two receiver vector gaussian broadcast channel with private and common messages"
    - "multi receiver wiretap channel with public and confidential messages"
    - "capacity region of gaussian mimo broadcast channels with common and confidential messages"
    - "multiple input multiple output gaussian broadcast channels with common and confidential messages"
    - "the secrecy capacity region of the gaussian mimo multi receiver wiretap channel"
    - "towards the secrecy capacity of the gaussian mimo wire tap channel the 2 2 1 channel"
    - "the secrecy capacity of the mimo wiretap channel"

Connected through hyperedge HE-3 (induced by source paper "individual secrecy for the broadcast channel"):
  with members:
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "strong secrecy for cooperative broadcast channels"
    - "individual secrecy for broadcast channels with receiver side information"
    - "secrecy capacity region of some classes of wiretap broadcast channels"
    - "capacity regions for broadcast channels with degraded message sets and message cognition under different secrecy constraints"
    - "effective secrecy reliability confusion and stealth"
    - "reliability and secrecy functions of the wiretap channel under cost constraint"
    - "wireless network information flow a deterministic approach"

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)