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Automata, Languages and Programming
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-36206-1_14openalex-snapshot
How to Compose Presburger-Accelerations: Applications to Broadcast Protocols
inferredcites →https://doi.org/10.1007/3-540-44585-4_34openalex-snapshot
TReX: A Tool for Reachability Analysis of Complex Systems
inferredcites →https://doi.org/10.1007/bfb0028736openalex-snapshot
Verifying systems with infinite but regular state spaces
inferredcites →https://doi.org/10.1007/bfb0028751openalex-snapshot
Multiple counters automata, safety analysis and presburger arithmetic
inferredcites →https://doi.org/10.1016/j.tcs.2005.12.001openalex-snapshot
On the solvability of a class of diophantine equations and applications
inferredcites →https://doi.org/10.1016/s0304-3975(03)00314-1openalex-snapshot
On iterating linear transformations over recognizable sets of integers
inferredcites →https://doi.org/10.1090/conm/270/04369openalex-snapshot
Undecidability of existential theories of rings and fields: a survey
inferredcites →https://doi.org/10.1142/9789812564894_0013openalex-snapshot
ENUMERABLE SETS ARE DIOPHANTINE
inferredcites →https://doi.org/10.1145/322047.322058openalex-snapshot
Reversal-Bounded Multicounter Machines and Their Decision Problems
inferredcites →https://doi.org/10.2140/pjm.1966.16.285openalex-snapshot
Semigroups, Presburger formulas, and languages
inferredcites →https://doi.org/10.2307/2313471openalex-snapshot
Computation: Finite and Infinite Machines.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Privacy‐Preserving Real‐Time Smart Grid Topology Analysis: A Graph Neural Networks Approach
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Security of Data Science and Data Science for Security
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Multiple Privacy Regimes Mechanism for Local Differential Privacy
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IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering
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PrivC—A Framework for Efficient Secure Two-Party Computation
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Overview of Blockchain-Based Privacy Preserving Machine Learning for IoMT
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Principles of Security and Trust
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Big Data in Gesundheitswesen und Medizin
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Semantic Security for Sharing Computing Knowledge/Information
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IoT Data Security by Combining Cryptography and Local Differential Privacy
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The Layered Privacy Language Art. 12 – 14 GDPR Extension – Privacy Enhancing User Interfaces
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Differentially Private Data Publishing of Trajectory Synthesis Based on Generalization and Probability
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Scaling Smart Cities with Federated Learning
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Privacy attack in federated learning is not easy: an experimental study
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Privacy of energy consumption data of a household in a smart grid
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Multiple and replicated random walkers analysis for service discovery in fog computing IoT environments
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Price of anarchy and an approximation algorithm for the binary-preference capacitated selfish replication game
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Enabling privacy by anonymization in the collection of similar data in multi-domain IoT
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A novel temporal perturbation based privacy-preserving scheme for real-time monitoring systems
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F-NIDS — A Network Intrusion Detection System based on federated learning
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Privacy-preserving batch-based task assignment over spatial crowdsourcing platforms
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DiWi: A transformer-based Digital twin for Wireless mobility
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Agricultural data privacy and federated learning: A review of challenges and opportunities
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A decision framework for privacy-preserving synthetic data generation
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ViCTS: A novel network partition algorithm for scalable agent-based modeling of mass evacuation
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Privacy protection control for mobile apps users
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Password typographical error resilience in honey encryption
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Supervised Machine Learning with Plausible Deniability
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A comprehensive review on deep learning algorithms: Security and privacy issues
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Privacy-preserving distributed clustering: A fully homomorphic encrypted approach for time series
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The Critical Node Detection Problem in networks: A survey
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A survey of privacy-preserving mechanisms for heterogeneous data types
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Attribute hiding subset predicate encryption: Quantum-resistant construction with efficient decryption
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Component-cardinality-constrained critical node problem in graphs
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Partitioning P4 -tidy graphs into a stable set and a forest
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An 8-approximation algorithm for L ( 2 , 1 ) -labeling of unit disk graphs
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Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates
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Circulant matrices and affine equivalence of monomial rotation symmetric Boolean functions
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Improved lower bound on the on-line chain partitioning of semi-orders with representation
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Empowering federated learning techniques for privacy-preserving PV forecasting
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On-line partitioning of width w posets into wO(loglogw) chains
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The maximum clique interdiction problem
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CoLoSS: The Coalgebraic Logic Satisfiability Solver
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Time Bounds for General Function Pointers
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Differentially private random decision forests using smooth sensitivity
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Affine equivalence for rotation symmetric Boolean functions with p k variables
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Moment subset sums over finite fields
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Freeness properties of weighted and probabilistic automata over bounded languages
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Higher order monotonicity and submodularity of influence in social networks: From local to global
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Privacy-Preserving of System Model with Perturbed State Trajectories using Differential Privacy: With application to a Supply Chain Network
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PEFed: Enhancing privacy and efficiency in federated learning via removable perturbation and decentralized encryption
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A global optimization algorithm for target set selection problems
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Welch sets for random generation and representation of reversible one-dimensional cellular automata
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New results on the time complexity and approximation ratio of the Broadcast Incremental Power algorithm
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Exponential lower bound for bounded depth circuits with few threshold gates
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Federated generalized linear mixed models for collaborative genome-wide association studies
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State complexity of operations on input-driven pushdown automata
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Building squares with optimal state complexity in restricted active self-assembly
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Towards a robust and trustworthy machine learning system development: An engineering perspective
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Ciphertext policy attribute-based encryption scheme supporting Boolean circuits over ideal lattices
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Third-party private set intersection with application to privacy-preserving training of large language models
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PrivNN: A private and efficient framework for spatial nearest neighbor query processing
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Free inductive K-semialgebras
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Influence efficiency maximization: How can we spread information efficiently?
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A sorting algorithm based on ordered block insertions
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PPTD: Preserving personalized privacy in trajectory data publishing by sensitive attribute generalization and trajectory local suppression
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An automated consistency management approach for a privacy-aware electric vehicle architecture
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A concentration inequality for the facility location problem
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Parallel selection on GPUs
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Equilibrium games in networks
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A new method to construct co-author networks
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Competitive seeds-selection in complex networks
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Dynamics of information diffusion and its applications on complex networks
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The use of tail inequalities on the probable computational time of randomized search heuristics
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Universal product learning with errors: A new variant of LWE for lattice-based cryptography
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Succinct encodings of binary trees with application to AVL trees
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Modeling and simulation for the impact of EGC strategies on the negative UGC diffusion
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EGeoIndis: An effective and efficient location privacy protection framework in traffic density detection
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Hide and seek: Placing and finding an optimal tree for thousands of homoplasy-rich sequences
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Social influence analysis in the big data era: a review
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Responsible Research on Social Networks
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Ability of unbounded pairs of observers to achieve quantum advantage in random access codes with a single pair of qubits
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Quantum-error-correction benchmarks for continuous weak-parity measurements
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Reversible bootstrap percolation: Fake news and fact checking
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Classification and predictions of RNA pseudoknots based on topological invariants
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Asymptotically Optimal Topological Quantum Compiling
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Communication Tasks with Infinite Quantum-Classical Separation
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Clean Quantum and Classical Communication Protocols
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Noise-Resistant Device-Independent Certification of Bell State Measurements
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Susceptible individuals drive active social contagion
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Quantum random number generators
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Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy
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Privacy-preserving Heterogeneous Federated Transfer Learning
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Privacy or Utility in Data Collection? A Contract Theoretic Approach
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Formal power series: an algebraic approach to the GapP and Hash P functions
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On tape Bounded probabilistic turing machine transducers
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Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach
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Balancing privacy versus accuracy in research protocols
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Completeness for First-order Properties on Sparse Structures with Algorithmic Applications
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Survey on Privacy-Preserving Techniques for Microdata Publication
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Information-Theoretic Approaches to Differential Privacy
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Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text
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Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting
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The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
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A Case Study on the Impact of Anonymization Along the RAG Pipeline
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The method for approximate continuous Skyline query based on privacy protection in road network
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Finding Influential Spreaders from Human Activity beyond Network Location
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Learning from Bees: An Approach for Influence Maximization on Viral Campaigns
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EXPLORING THE CO-AUTHORSHIP NETWORK AMONG CNPQ’S PRODUCTIVITY FELLOWS IN THE AREA OF INDUSTRIAL ENGINEERING
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Screening for Depression Using Natural Language Processing: Literature Review
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Database Anonymization: Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections
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How Can We Analyze Differentially-Private Synthetic Datasets?
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Use of Beacon v2 for Improving Genomics Based Research in a Clinical Setting
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Non-homogenous Slicing Anonymization with Subsequent Data utility Analysis for Privacy Preservation Data mining
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DIKWP-TRIZ: A Revolution on Traditional TRIZ Towards Invention for Artificial Consciousness
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Privacy Auditing in Differential Private Machine Learning: The Current Trends
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Information Architecture for Data Disclosure
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A Novel Federated Learning Framework Based on Conditional Generative Adversarial Networks for Privacy Preserving in 6G
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DPShield: Optimizing Differential Privacy for High-Utility Data Analysis in Sensitive Domains
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DNO-RL: A Reinforcement-Learning-Based Approach to Dynamic Noise Optimization for Differential Privacy
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A System Framework for Low-Altitude Transportation Integration in Smart Cities
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Verification and Enforcement of (ϵ, ξ)-Differential Privacy over Finite Steps in Discrete Event Systems
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Privacy Threats and Protection Recommendations for the Use of Geosocial Network Data in Research
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Cross-Company Data Sharing Using Distributed Analytics
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Using Metadata to Understand Search Behavior in Digital Libraries
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Feature Based Data Anonymization for High Dimensional Data
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