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 "a review of machine learning applications in fuzzing"):
  Abstract: Fuzzing has played an important role in improving software development and testing over the course of several decades. Recent research in fuzzing has focused on applications of machine learning (ML), offering useful tools to overcome challenges in the fuzzing process. This review surveys the current research in applying ML to fuzzing. Specifically, this review discusses successful applications of ML to fuzzing, briefly explores challenges encountered, and motivates future research to address fuzzing bottlenecks.

Includes members:
  Member "optimizing seed inputs in fuzzing with machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a systematic review of fuzzing based on machine learning techniques")
  Member "deep reinforcement fuzzing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a systematic review of fuzzing based on machine learning techniques")
  Member "learning a sat solver from single bit supervision":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "teaching temporal logics to neural networks")
  Member "evaluating fuzz testing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "meuzz smart seed scheduling for hybrid fuzzing")
  Member "neuzz efficient fuzzing with neural program smoothing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "privacy for all demystify vulnerability disparity of differential privacy against membership inference attack")
  Member "angora efficient fuzzing by principled search":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "meuzz smart seed scheduling for hybrid fuzzing")
  Member "automatic heap layout manipulation for exploitation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "methodologies for quantifying re randomization security and timing under jit rop")
  Member "graph neural networks and boolean satisfiability":
    also connected through other hyperedges:
      - Hyperedge HE-8 (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)