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 "on privacy of quantized sensor measurements through additive noise"):
  Abstract: We study the problem of maximizing privacy of quantized sensor measurements by adding random variables. In particular, we consider the setting where information about the state of a process is obtained using noisy sensor measurements. This information is quantized and sent to a remote station through an unsecured communication network. It is desired to keep the state of the process private; however, because the network is not secure, adversaries might have access to sensor information, which could be used to estimate the process state. To avoid an accurate state estimation, we add random numbers to the quantized sensor measurements and send the sum to the remote station instead. The distribution of these random variables is designed to minimize the mutual information between the sum and the quantized sensor measurements for a desired level of distortion -- how different the sum and the quantized sensor measurements are allowed to be. Simulations are presented to illustrate our results.

Includes members:
  Member "on reachable sets of hidden cps sensor attacks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a multi observer approach for attack detection and isolation of discrete time nonlinear systems")
  Member "constraining attacker capabilities through actuator saturation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a multi observer approach for attack detection and isolation of discrete time nonlinear systems")
  Member "a comparison of stealthy sensor attacks on control systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a multi observer approach for attack detection and isolation of discrete time nonlinear systems")
  Member "managing your private and public data bringing down inference attacks against your privacy":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "defending against machine learning based inference attacks via adversarial examples opportunities and challenges")
  Member "increasing smart meter privacy through energy harvesting and storage devices":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "information theoretic privacy through chaos synchronization and optimal additive noise")
  Member "the optimal mechanism in differential privacy":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "free gap information from the differentially private sparse vector and noisy max mechanisms")
  Member "privacy against statistical inference":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the information bottleneck problems models connections applications and information theoretic views")

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.SY(Systems and Control)