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 "investigating the effectiveness of web adblockers"):
  Abstract: We investigate adblocking filters and the extent to which websites and advertisers react when their content is impacted by these filters. We collected data daily from the Alexa Top-5000 web sites for 120 days, and from specific sites that newly appeared in filter lists for 140 days. By evaluating how long a filter rule triggers on a website, we can gauge how long it remains effective. We matched websites with both a regular adblocking filter list (EasyList) and with a specialized filter list that targets anti-adblocking logic (Nano Defender). #R##N#From our data, we observe that the effectiveness of the EasyList adblocking filter decays a modest 0.13\% per day, and after around 80 days seems to stabilize. We found no evidence for any significant decay in effectiveness of the more specialized, but less widely used, anti-adblocking removal filters.

Includes members:
  Member "adversarial perceptual ad blocking meets adversarial machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fundamental tradeoffs between invariance and sensitivity to adversarial perturbations")
  Member "tracking the pixels detecting web trackers via analyzing invisible pixels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "inferring tracker advertiser relationships in the online advertising ecosystem using header bidding")
  Member "who filters the filters understanding the growth usefulness and efficiency of crowdsourced ad blocking":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "measuring abuse in web push advertising")
  Member "the future of ad blocking an analytical framework and new techniques":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a4 evading learning based adblockers")
  Member "ad blocking a study on performance privacy and counter measures":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "measuring abuse in web push advertising")
  Member "a first look at ad block detection a new arms race on the web":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "adversarial perceptual ad blocking meets adversarial machine learning")

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)