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 "adversarial contract design for private data commercialization"):
  Abstract: The proliferation of data collection and machine learning techniques has created an opportunity for commercialization of private data by data aggregators. In this paper, we study this data monetization problem using a contract-theoretic approach. Our proposed adversarial contract design framework accounts for the heterogeneity in honest buyers' demands for data, as well as the presence of adversarial buyers who may purchase data to compromise its privacy. We propose the notion of Price of Adversary (PoAdv) to quantify the effects of adversarial users on the data seller's revenue, and provide bounds on the PoAdv for various classes of adversary utility. We also provide a fast approximate technique to compute contracts in the presence of adversaries.

Includes members:
  Member "blockchain enabled data marketplace design and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy aware demand selection and allocation for real time iot data trading")
  Member "implementation of smart contracts using hybrid architectures with on and off blockchain components":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "scalable and privacy preserving design of on off chain smart contracts")
  Member "contract design for energy demand response":
    also connected through other hyperedges:
      (none)
  Member "market model and optimal pricing scheme of big data and internet of things iot":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a crowdsourcing framework for on device federated learning")
  Member "buying private data without verification":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "causal feature discovery through strategic modification")
  Member "adaptive contract design for crowdsourcing markets bandit algorithms for repeated principal agent problems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the complexity of contracts")
  Member "differential privacy an economic method for choosing epsilon":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "guidelines for implementing and auditing differentially private systems")
  Member "a theory of pricing private data":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimal pricing of internet of things a machine learning approach")

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.GT(Computer Science and Game Theory)