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 "tracing information flows between ad exchanges using retargeted ads"):
  Abstract: Numerous surveys have shown that Web users are concerned about the loss of privacy associated with online tracking. Alarmingly, these surveys also reveal that people are also unaware of the amount of data sharing that occurs between ad exchanges, and thus underestimate the privacy risks associated with online tracking. #R##N#In reality, the modern ad ecosystem is fueled by a flow of user data between trackers and ad exchanges. Although recent work has shown that ad exchanges routinely perform cookie matching with other exchanges, these studies are based on brittle heuristics that cannot detect all forms of information sharing, especially under adversarial conditions. #R##N#In this study, we develop a methodology that is able to detect client- and server-side flows of information between arbitrary ad exchanges. Our key insight is to leverage retargeted ads as a tool for identifying information flows. Intuitively, our methodology works because it relies on the semantics of how exchanges serve ads, rather than focusing on specific cookie matching mechanisms. Using crawled data on 35,448 ad impressions, we show that our methodology can successfully categorize four different kinds of information sharing behavior between ad exchanges, including cases where existing heuristic methods fail. #R##N#We conclude with a discussion of how our findings and methodologies can be leveraged to give users more control over what kind of ads they see and how their information is shared between ad exchanges.

Includes members:
  Member "include me out in browser detection of malicious third party content inclusions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "actions speak louder than words semi supervised learning for browser fingerprinting detection")
  Member "i always feel like somebody s watching me measuring online behavioural advertising":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stop tracking me bro differential tracking of user demographics on hyper partisan websites")
  Member "adscape harvesting and analyzing online display ads":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "measuring abuse in web push advertising")
  Member "automated experiments on ad privacy settings a tale of opacity choice and discrimination":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "artificial intelligent ethics in the digital era an engineering ethical framework proposal")
  Member "xray enhancing the web s transparency with differential correlation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "discrimination through optimization how facebook s ad delivery can lead to biased outcomes")
  Member "information flow control in webkit s javascript bytecode":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an empirical study of information flows in real world javascript")
  Member "social turing tests crowdsourcing sybil detection":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "uncovering coordinated networks on social media")

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)