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 "non malleable secret sharing against affine tampering"):
  Abstract: Non-malleable secret sharing was recently studied by Goyal and Kumar in independent tampering and joint tampering models for threshold scheme (STOC18) and secret sharing with general access structure (CRYPTO18). We study non-malleable secret sharing in a natural adaptive tampering model, where the share vector is tampered using a function, in a given tampering family, chosen adaptively according to any unauthorised set of shares. Intuitively, the passive privacy adversary of secret sharing and the active adversary characterized by the given tampering family collude. We then focus on the tampering family of affine functions and construct non-malleable secret sharing in the adaptive tampering model. The constructions are modular with an erasure code and an extractor that provides both privacy and non-malleability. We make use of randomness extractors of various flavours, including the seeded/seedless non-malleable extractors. We discuss our results and open problems.

Includes members:
  Member "improved non malleable extractors non malleable codes and independent source extractors":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "leakage resilient non malleable secret sharing in non compartmentalized models")
  Member "non malleable extractors and codes with their many tampered extensions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "leakage resilient non malleable secret sharing in non compartmentalized models")
  Member "invertible extractors and wiretap protocols":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "leakage resilient non malleable secret sharing in non compartmentalized models")

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)