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 "specusym speculative symbolic execution for cache timing leak detection"):
  Abstract: CPU cache is limited but crucial storage on modern processor whereas the cache timing side-channel could indirectly leak data through the measurable timing variance. Speculative execution, a reason for the variance and a vital optimization in modern CPUs, can engender severe detriment to deliberate branch mispredictions. Though static analysis can qualitatively verify the timing-leakage-free property under speculative execution, it is incapable of producing endorsements including inputs and speculated flows to diagnose leaks in depth. This work proposes a new approach, Speculative symbolic Execution, for precisely validating cache timing leaks introduced by speculative execution. Generally, given a program with sensitive inputs (leakage-free in non-speculative execution), our method systematically explores the program state space. Meanwhile, it models speculative behavior at conditional branches and accumulates the cache side effects along with subsequent execution. Based on the dynamic exploration and a specified cache model, we construct leak conditions for memory accesses and conduct a constraint-solving based cache behavior analysis to generate leak witnesses. We have implemented our method in a tool named SpecuSym on KLEE, and evaluated it against 14 open-source benchmarks. Experiments show that SpecuSym successfully identified leaks in 6 programs on four different caches and eliminated false positives in 2 programs reported by recent work.

Includes members:
  Member "mitigating power side channels during compilation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient detection and quantification of timing leaks with neural networks")
  Member "specfuzz bringing spectre type vulnerabilities to the surface":
    also connected through other hyperedges:
      (none)
  Member "identifying cache based side channels through secret augmented abstract interpretation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "guidelines for implementing and auditing differentially private systems")
  Member "neural network model extraction attacks in edge devices by hearing architectural hints":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a framework for the extraction of deep neural networks by leveraging public data")
  Member "abstract interpretation under speculative execution":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "towards constant time foundations for the new spectre era")
  Member "ct fuzz fuzzing for timing leaks":
    also connected through other hyperedges:
      (none)
  Member "savior towards bug driven hybrid testing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "meuzz smart seed scheduling for hybrid fuzzing")
  Member "spoiler speculative load hazards boost rowhammer and cache attacks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "are we susceptible to rowhammer an end to end methodology for cloud providers")

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)