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: "spectre attacks exploiting speculative execution"
  Abstract: Modern processors use branch prediction and speculative execution to maximize performance. For example, if the destination of a branch depends on a memory value that is in the process of being read, CPUs will try guess the destination and attempt to execute ahead. When the memory value finally arrives, the CPU either discards or commits the speculative computation. Speculative logic is unfaithful in how it executes, can access to the victim's memory and registers, and can perform operations with measurable side effects. #R##N#Spectre attacks involve inducing a victim to speculatively perform operations that would not occur during correct program execution and which leak the victim's confidential information via a side channel to the adversary. This paper describes practical attacks that combine methodology from side channel attacks, fault attacks, and return-oriented programming that can read arbitrary memory from the victim's process. More broadly, the paper shows that speculative execution implementations violate the security assumptions underpinning numerous software security mechanisms, including operating system process separation, static analysis, containerization, just-in-time (JIT) compilation, and countermeasures to cache timing/side-channel attacks. These attacks represent a serious threat to actual systems, since vulnerable speculative execution capabilities are found in microprocessors from Intel, AMD, and ARM that are used in billions of devices. #R##N#While makeshift processor-specific countermeasures are possible in some cases, sound solutions will require fixes to processor designs as well as updates to instruction set architectures (ISAs) to give hardware architects and software developers a common understanding as to what computation state CPU implementations are (and are not) permitted to leak.

Connected through hyperedge HE-1 (induced by source paper "towards probabilistic verification of machine unlearning"):
  with members:
    - "formalizing data deletion in the context of the right to be forgotten"
    - "nnoculation broad spectrum and targeted treatment of backdoored dnns"
    - "machine unlearning linear filtration for logit based classifiers"
    - "bypassing backdoor detection algorithms in deep learning"
    - "hidden trigger backdoor attacks"
    - "making ai forget you data deletion in machine learning"
    - "certified data removal from machine learning models"
    - "auditing data provenance in text generation models"

Connected through hyperedge HE-2 (induced by source paper "ghostknight breaching data integrity via speculative execution"):
  with members:
    - "telehammer a stealthy cross boundary rowhammer technique"
    - "sgxpectre stealing intel secrets from sgx enclaves via speculative execution"
    - "netspectre read arbitrary memory over network"
    - "nethammer inducing rowhammer faults through network requests"
    - "spectre returns speculation attacks using the return stack buffer"
    - "ret2spec speculative execution using return stack buffers"
    - "a systematic evaluation of transient execution attacks and defenses"
    - "another flip in the wall of rowhammer defenses"

Connected through hyperedge HE-3 (induced by source paper "an authentication protocol based on chaos and zero knowledge proof"):
  with members:
    - "cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography"
    - "open sesame the password hashing competition and argon2"
    - "trust enhancement by multiple random beacons"

Connected through hyperedge HE-4 (induced by source paper "towards practical encrypted network traffic pattern matching for secure middleboxes"):
  with members:
    - "lightbox full stack protected stateful middlebox at lightning speed"
    - "splitbox toward efficient private network function virtualization"

Connected through hyperedge HE-5 (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-6 (induced by source paper "store to leak forwarding leaking data on meltdown resistant cpus"):
  with members:
    - "practical enclave malware with intel sgx"
    - "smotherspectre exploiting speculative execution through port contention"
    - "page cache attacks"
    - "spoiler speculative load hazards boost rowhammer and cache attacks"
    - "speculative buffer overflows attacks and defenses"
    - "netspectre read arbitrary memory over network"
    - "meltdownprime and spectreprime automatically synthesized attacks exploiting invalidation based coherence protocols"
    - "spectre returns speculation attacks using the return stack buffer"

Connected through hyperedge HE-7 (induced by source paper "context leakage free transient execution"):
  with members:
    - "fallout reading kernel writes from user space"
    - "spectre is here to stay an analysis of side channels and speculative execution"
    - "store to leak forwarding leaking data on meltdown resistant cpus"
    - "zombieload cross privilege boundary data sampling"
    - "speculative buffer overflows attacks and defenses"
    - "netspectre read arbitrary memory over network"
    - "safespec banishing the spectre of a meltdown with leakage free speculation"
    - "meltdownprime and spectreprime automatically synthesized attacks exploiting invalidation based coherence protocols"

Connected through hyperedge HE-8 (induced by source paper "shredder learning noise to protect privacy with partial dnn inference on the edge"):
  with members:
    - "zombieload cross privilege boundary data sampling"
    - "chiron privacy preserving machine learning as a service"
    - "gazelle a low latency framework for secure neural network inference"
    - "not just privacy improving performance of private deep learning in mobile cloud"
    - "efficient processing of deep neural networks a tutorial and survey"
    - "hypothesis testing under mutual information privacy constraints in the high privacy regime"
    - "opening the black box of deep neural networks via information"
    - "prochlo strong privacy for analytics in the crowd"

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)