human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "relational abstract domains for the detection of floating point run time errors"
  Abstract: We present a new idea to adapt relational abstract domains to the analysis of IEEE 754-compliant floating-point numbers in order to statically detect, through abstract Interpretation-based static analyses, potential floating-point run-time exceptions such as overflows or invalid operations. In order to take the non-linearity of rounding into account, expressions are modeled as linear forms with interval coefficients. We show how to extend already existing numerical abstract domains, such as the octagon abstract domain, to efficiently abstract transfer functions based on interval linear forms. We discuss specific fixpoint stabilization techniques and give some experimental results.

Connected through hyperedge HE-1 (induced by source paper "exploiting verified neural networks via floating point numerical error"):
  with members:
    - "on adaptive attacks to adversarial example defenses"
    - "correctness verification of neural networks"
    - "training verified learners with learned verifiers"
    - "adversarial logit pairing"
    - "training for faster adversarial robustness verification via inducing relu stability"
    - "semidefinite relaxations for certifying robustness to adversarial examples"
    - "efficient neural network robustness certification with general activation functions"
    - "obfuscated gradients give a false sense of security circumventing defenses to adversarial examples"

Connected through hyperedge HE-2 (induced by source paper "automatic generation and verification of test stable floating point code"):
  with members:
    - "eliminating unstable tests in floating point programs"
    - "towards a compiler for reals"
    - "robustness analysis of finite precision implementations"
    - "wave equation numerical resolution a comprehensive mechanized proof of a c program"
    - "a logical product approach to zonotope intersection"

Connected through hyperedge HE-3 (induced by source paper "perfectly parallel fairness certification of neural networks"):
  with members:
    - "probabilistic verification of fairness properties via concentration"
    - "a provable defense for deep residual networks"
    - "a survey on bias and fairness in machine learning"
    - "analyzing deep neural networks with symbolic propagation towards higher precision and faster verification"
    - "the efficacy of shield under different threat models"
    - "deepsearch simple and effective blackbox fuzzing of deep neural networks"
    - "formal security analysis of neural networks using symbolic intervals"
    - "symbolic execution for deep neural networks"

Connected through hyperedge HE-4 (induced by source paper "robustness verification of support vector machines"):
  with members:
    - "optimization and abstraction a synergistic approach for analyzing neural network robustness"
    - "formal security analysis of neural networks using symbolic intervals"
    - "adversarial framing for image and video classification"
    - "formal verification of piece wise linear feed forward neural networks"
    - "reluplex an efficient smt solver for verifying deep neural networks"
    - "fashion mnist a novel image dataset for benchmarking machine learning algorithms"
    - "generating natural adversarial examples"
    - "safety verification of deep neural networks"

Connected through hyperedge HE-5 (induced by source paper "deterministic parallel fixpoint computation"):
  with members:
    - "abstract interpretation with higher dimensional ellipsoids and conic extrapolation"
    - "efficiently intertwining widening and narrowing"
    - "a new numerical abstract domain based on difference bound matrices"
    - "the octagon abstract domain"
    - "the parallel implementation of the astree static analyzer"

Connected through hyperedge HE-6 (induced by source paper "evaluating design tradeoffs in numeric static analysis for java"):
  with members:
    - "modular construction of shape numeric analyzers"
    - "pagai a path sensitive static analyzer"
    - "the parma polyhedra library toward a complete set of numerical abstractions for the analysis and verification of hardware and software systems"
    - "a static analyzer for large safety critical software"

Connected through hyperedge HE-7 (induced by source paper "towards a compiler for reals"):
  with members:
    - "on the maximum relative error when computing x n in floating point arithmetic"
    - "robustness analysis of finite precision implementations"
    - "a non local method for robustness analysis of floating point programs"
    - "a logical product approach to zonotope intersection"
    - "a static analyzer for large safety critical software"

Connected through hyperedge HE-8 (induced by source paper "on numerical error propagation with sensitivity"):
  with members:
    - "robustness analysis of finite precision implementations"
    - "a non local method for robustness analysis of floating point programs"
    - "a logical product approach to zonotope intersection"
    - "a static analyzer for large safety critical software"

Question: Please tell me which class the center node 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.PL(Programming Languages)