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 "money cannot buy everything trading infinite location data streams with bounded individual privacy loss"):
  Abstract: As personal data have been the new oil of the digital era, there is a growing trend perceiving personal data as a commodity. Although some people are willing to trade their personal data for money, they might still expect limited individual privacy loss, and the maximum tolerable privacy loss varies with each individual. In this paper, we propose a framework that enables individuals to trade their location data streams under personalized privacy loss, which can be bounded in w successive time points. However, the introduction of such personalized bounds of individual privacy loss over streaming data raises several technical challenges in the aspects of budget allocation, utility estimation of personalized differentially private mechanism, and arbitrage-free pricing. To deal with those challenges, we modularize three key modules in our framework and propose arbitrage-free trading mechanisms by combining instances of the modules. Finally, our experiments verify the effectiveness of the proposed mechanisms.

Includes members:
  Member "quantifying differential privacy in continuous data release under temporal correlations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "protecting spatiotemporal event privacy in continuous location based services")
  Member "quantifying differential privacy under temporal correlations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "videodp a universal platform for video analytics with differential privacy")
  Member "how to balance privacy and money through pricing mechanism in personal data market":
    also connected through other hyperedges:
      (none)
  Member "private decayed predicate sums on streams":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "temporally discounted differential privacy for evolving datasets on an infinite horizon")
  Member "a theory of pricing private data":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimal pricing of internet of things a machine learning approach")
  Member "selling privacy at auction":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "guidelines for implementing and auditing differentially private systems")

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.CR(Cryptography and Security)