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 differentiable color filter for generating unrestricted adversarial images"):
  Abstract: We propose Adversarial Color Filtering (AdvCF), an approach that uses a differentiable color filter to create adversarial images. The color filter allows us to introduce large perturbations into images, while still maintaining or enhancing their photographic quality and appeal. AdvCF is motivated by properties that are necessary if adversarial images are to be used to protect the content of images shared online from unethical machine learning classifiers: First, perturbations must be imperceptible and adversarial images must look realistic to the human eye. Second, adversarial impact must be maintained in the face of classifiers unknown when the perturbations are generated (transferability). The paper presents evidence that AdvCF has these two properties, and also points out that AdvCF has the potential for further improvement if image semantics are taken into account.

Includes members:
  Member "semanticadv generating adversarial examples via attribute conditional image editing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "semantic adversarial perturbations using learnt representations")
  Member "semantic adversarial attacks parametric transformations that fool deep classifiers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "type i attack for generative models")
  Member "colorfool semantic adversarial colorization":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "type i attack for generative models")
  Member "functional adversarial attacks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "breaking certified defenses semantic adversarial examples with spoofed robustness certificates")
  Member "a general framework for adversarial examples with objectives":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "advjnd generating adversarial examples with just noticeable difference")
  Member "panoptic feature pyramid networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "mti net multi scale task interaction networks for multi task learning")
  Member "spatially transformed adversarial examples":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "adversarial ranking attack and defense")
  Member "semantic adversarial examples":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "breaking certified defenses semantic adversarial examples with spoofed robustness certificates")

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.CV(Computer Vision and Pattern Recognition)