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: "diffuzz differential fuzzing for side channel analysis"
  Abstract: Side-channel attacks allow an adversary to uncover secret program data by observing the behavior of a program with respect to a resource, such as execution time, consumed memory or response size. Side-channel vulnerabilities are difficult to reason about as they involve analyzing the correlations between resource usage over multiple program paths. We present DifFuzz, a fuzzing-based approach for detecting side-channel vulnerabilities related to time and space. DifFuzz automatically detects these vulnerabilities by analyzing two versions of the program and using resource-guided heuristics to find inputs that maximize the difference in resource consumption between secret-dependent paths. The methodology of DifFuzz is general and can be applied to programs written in any language. For this paper, we present an implementation that targets analysis of Java programs, and uses and extends the Kelinci and AFL fuzzers. We evaluate DifFuzz on a large number of Java programs and demonstrate that it can reveal unknown side-channel vulnerabilities in popular applications. We also show that DifFuzz compares favorably against Blazer and Themis, two state-of-the-art analysis tools for finding side-channels in Java programs.

Connected through hyperedge HE-1 (induced by source paper "specusym speculative symbolic execution for cache timing leak detection"):
  with members:
    - "mitigating power side channels during compilation"
    - "specfuzz bringing spectre type vulnerabilities to the surface"
    - "identifying cache based side channels through secret augmented abstract interpretation"
    - "neural network model extraction attacks in edge devices by hearing architectural hints"
    - "abstract interpretation under speculative execution"
    - "ct fuzz fuzzing for timing leaks"
    - "savior towards bug driven hybrid testing"
    - "spoiler speculative load hazards boost rowhammer and cache attacks"

Connected through hyperedge HE-2 (induced by source paper "mitigating power side channels during compilation"):
  with members:
    - "quantitative verification of masked arithmetic programs against side channel attacks"
    - "identifying cache based side channels through secret augmented abstract interpretation"
    - "abstract interpretation under speculative execution"
    - "eliminating timing side channel leaks using program repair"
    - "adversarial symbolic execution for detecting concurrency related cache timing leaks"
    - "canal a cache timing analysis framework via llvm transformation"
    - "compositional synthesis of leakage resilient programs"

Connected through hyperedge HE-3 (induced by source paper "data driven debugging for functional side channels"):
  with members:
    - "eliminating timing side channel leaks using program repair"
    - "adversarial symbolic execution for detecting concurrency related cache timing leaks"
    - "stealing hyperparameters in machine learning"
    - "discriminating traces with time"
    - "differential performance debugging with discriminant regression trees"

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.CR(Cryptography and Security)