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 "using deep learning to solve computer security challenges a survey"):
  Abstract: Although using machine learning techniques to solve computer security challenges is not a new idea, the rapidly emerging Deep Learning technology has recently triggered a substantial amount of interests in the computer security community. This paper seeks to provide a dedicated review of the very recent research works on using Deep Learning techniques to solve computer security challenges. In particular, the review covers eight computer security problems being solved by applications of Deep Learning: security-oriented program analysis, defending return-oriented programming (ROP) attacks, achieving control-flow integrity (CFI), defending network attacks, malware classification, system-event-based anomaly detection, memory forensics, and fuzzing for software security.

Includes members:
  Member "deepcheck a non intrusive control flow integrity checking based on deep learning":
    also connected through other hyperedges:
      (none)
  Member "convolutional neural networks over control flow graphs for software defect prediction":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "detecting code clones with graph neural networkand flow augmented abstract syntax tree")
  Member "deep reinforcement fuzzing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a review of machine learning applications in fuzzing")
  Member "recurrent neural network attention mechanisms for interpretable system log anomaly detection":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "finding rats in cats detecting stealthy attacks using group anomaly detection")
  Member "neuzz efficient fuzzing with neural program smoothing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "privacy for all demystify vulnerability disparity of differential privacy against membership inference attack")
  Member "ropnn detection of rop payloads using deep neural networks":
    also connected through other hyperedges:
      (none)
  Member "neural network based graph embedding for cross platform binary code similarity detection":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "equivalence of dataflow graphs via rewrite rules using a graph to sequence neural model")
  Member "not all bytes are equal neural byte sieve for fuzzing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "meuzz smart seed scheduling for hybrid fuzzing")

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)