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 "the reincarnation of grille cipher"):
  Abstract: In order to keep the data secret, various techniques have been implemented to encrypt and decrypt the secret data. Cryptography is committed to the security of content, i.e. it cannot be restored with a given ciphertext. Steganography is to hide the existence of a communication channel in a stego. However, it has been difficult to construct a cipher (cypher) that simultaneously satisfy both channel and content security for secure communication. Inspired by the Cardan grille, this paper presents a new automated framework of grille cipher, this scheme can satisfy both content and channel security simultaneously. A simple practical cipher method called Digital Cardan Grille is proposed using semantic image inpainting. We also give the difference and connection between cryptography and steganography under this new grille cipher framework. Experimental results demonstrate the promising of the proposed method.

Includes members:
  Member "an introduction to image synthesis with generative adversarial nets":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "reshapegan object reshaping by providing a single reference image")
  Member "passgan a deep learning approach for password guessing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "improving password guessing via representation learning")
  Member "learning to protect communications with adversarial neural cryptography":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "recent advances of image steganography with generative adversarial networks")
  Member "ssgan secure steganography based on generative adversarial networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "recent advances of image steganography with generative adversarial networks")
  Member "steganographic generative adversarial networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "recent advances of image steganography with generative adversarial networks")
  Member "generative steganography with kerckhoffs principle based on generative adversarial networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "recent advances of image steganography with generative adversarial networks")
  Member "semantic image inpainting with deep generative models":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "generative adversarial networks in computer vision a survey and taxonomy")
  Member "unsupervised representation learning with deep convolutional generative adversarial networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "generative adversarial networks in computer vision a survey and taxonomy")

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)