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 "whitenet phishing website detection by visual whitelists"):
  Abstract: Phishing websites are still a major threat in today's Internet ecosystem. Despite numerous previous efforts, black and white listing methods do not offer sufficient protection - in particular against zero-day phishing attacks. This paper contributes WhiteNet, a new similarity-based phishing detection framework, based on a triplet network with three shared Convolutional Neural Networks (CNNs). WhiteNet learns profiles for websites in order to detect zero-day phishing websites by a "visual whitelist". We furthermore present WhitePhish, the largest dataset to date that facilitates visual phishing detection in an ecologically valid manner. We show that our method outperforms the state-of-the-art by a large margin while being robust against a range of evasion attacks.

Includes members:
  Member "wild patterns ten years after the rise of adversarial machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "vulnerabilities of connectionist ai applications evaluation and defence")
  Member "attributing fake images to gans learning and analyzing gan fingerprints":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "watch your up convolution cnn based generative deep neural networks are failing to reproduce spectral distributions")
  Member "detecting homoglyph attacks with a siamese neural network":
    also connected through other hyperedges:
      (none)
  Member "phish iris a new approach for vision based brand prediction of phishing web pages via compact visual descriptors":
    also connected through other hyperedges:
      (none)
  Member "deltaphish detecting phishing webpages in compromised websites":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sok a comprehensive reexamination of phishing research from the security perspective")
  Member "signet convolutional siamese network for writer independent offline signature verification":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "featurenms non maximum suppression by learning feature embeddings")
  Member "adversarial machine learning at scale":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "adversarial ranking attack and defense")
  Member "facenet a unified embedding for face recognition and clustering":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "discrimination aware network pruning for deep model compression")

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)