human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "survey of automated vulnerability detection and exploit generation techniques in cyber reasoning systems"
  Abstract: Software is everywhere, from mission critical systems such as industrial power stations, pacemakers and even household appliances. This growing dependence on technology and the increasing complexity software has serious security implications as it means we are potentially surrounded by software that contain exploitable vulnerabilities. These challenges have made binary analysis an important area of research in computer science and has emphasized the need for building automated analysis systems that can operate at scale, speed and efficacy; all while performing with the skill of a human expert. Though great progress has been made in this area of research, there remains limitations and open challenges to be addressed. Recognizing this need, DARPA sponsored the Cyber Grand Challenge (CGC), a competition to showcase the current state of the art in systems that perform; automated vulnerability detection, exploit generation and software patching. This paper is a survey of the vulnerability detection and exploit generation techniques, underlying technologies and related works of two of the winning systems Mayhem and Mechanical Phish.

Connected through hyperedge HE-1 (induced by source paper "learning to catch security patches"):
  with members:
    - "a manually curated dataset of fixes to vulnerabilities of open source software"
    - "patchnet a tool for deep patch classification"
    - "the coming era of alphahacking a survey of automatic software vulnerability detection exploitation and patching techniques"
    - "a practical approach to the automatic classification of security relevant commits"
    - "vuldeepecker a deep learning based system for vulnerability detection"
    - "a survey of machine learning for big code and naturalness"
    - "impact of tool support in patch construction"
    - "why should i trust you explaining the predictions of any classifier"

Connected through hyperedge HE-2 (induced by source paper "artificial intelligence techniques for security vulnerability prevention"):
  with members:
    - "sok applying machine learning in security a survey"

Connected through hyperedge HE-3 (induced by source paper "the coming era of alphahacking a survey of automatic software vulnerability detection exploitation and patching techniques"):
  with members:
    - "vuldeepecker a deep learning based system for vulnerability detection"

Connected through hyperedge HE-4 (induced by source paper "faster fuzzing reinitialization with deep neural models"):
  with members:
    - "learn fuzz machine learning for input fuzzing"
    - "google s neural machine translation system bridging the gap between human and machine translation"
    - "playing atari with deep reinforcement learning"

Question: Please tell me which class the center node 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)