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 "detecting replay attacks using multi channel audio a neural network based method"):
  Abstract: With the rapidly growing number of security-sensitive systems that use voice as the primary input, it becomes increasingly important to address these systems' potential vulnerability to replay attacks. Previous efforts to address this concern have focused primarily on single-channel audio. In this paper, we introduce a novel neural network-based replay attack detection model that further leverages spatial information of multi-channel audio and is able to significantly improve the replay attack detection performance.

Includes members:
  Member "remasc realistic replay attack corpus for voice controlled systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "voice spoofing detection corpus for single and multi order audio replays")
  Member "real time adversarial attacks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dlbc a deep learning based consensus in blockchains for deep learning services")
  Member "protecting voice controlled systems using sound source identification based on acoustic cues":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "remasc realistic replay attack corpus for voice controlled systems")
  Member "an overview of vulnerabilities of voice controlled systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimization and abstraction a synergistic approach for analyzing neural network robustness")
  Member "the insecurity of home digital voice assistants amazon alexa as a case study":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "cagfuzz coverage guided adversarial generative fuzzing testing of deep learning systems")
  Member "a study on replay attack and anti spoofing for automatic speaker verification":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "introduction to voice presentation attack detection and recent advances")
  Member "decoupled weight decay regularization":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "using a thousand optimization tasks to learn hyperparameter search strategies")
  Member "crafting adversarial examples for speech paralinguistics applications":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "identifying audio adversarial examples via anomalous pattern detection")

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.SD(Sound)