human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "optimal utility privacy trade off with the total variation distance as the privacy measure"):
  Abstract: Three reasons are provided in favour of $L^1$-norm as a measure of privacy-leakage: i) It is proved that this measure satisfies post-processing and linkage inequalities that make it consistent with an intuitive notion of a privacy measure; ii) It is shown that the optimal utility-privacy trade-off can be efficiently solved through a standard linear program when $L^1$-norm is employed as the privacy measure; iii) It is also proved that it is sufficient to consider this measure of privacy in order to bound the privacy-leakage measured by mutual information, maximal leakage, or the improvement in an inference attack with a bounded cost function.

Includes members:
  Member "estimation efficiency under privacy constraints":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the information bottleneck problems models connections applications and information theoretic views")
  Member "the utility cost of robust privacy guarantees":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a practical approach to navigating the tradeoff between privacy and precise utility")
  Member "a tunable measure for information leakage":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "obfuscation via information density estimation")
  Member "vgan based image representation learning for privacy preserving facial expression recognition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning to augment expressions for few shot fine grained facial expression recognition")
  Member "privacy preserving adversarial networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "learning generative adversarial representations gap under fairness and censoring constraints")
  Member "privacy aware guessing efficiency":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "estimation efficiency under privacy constraints")
  Member "privacy utility tradeoffs under constrained data release mechanisms":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "privacy aware distributed hypothesis testing")
  Member "an estimation theoretic view of privacy":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a practical approach to navigating the tradeoff between privacy and precise utility")

Question: Please tell me which class the source paper 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)