New Online Communities: Graph Deep Learning on Anonymous Voting Networks to Identify Sybils in Polycentric Governance
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | DuPont, Quinn |
|---|---|
| Format: | Preprint |
| Publié: |
2023
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Toward Self-Driving Universities: Can Universities Drive Themselves with Agentic AI?
par: Koubaa, Anis
Publié: (2026)
par: Koubaa, Anis
Publié: (2026)
NeurOptimisation: The Spiking Way to Evolve
par: Cruz-Duarte, Jorge Mario, et autres
Publié: (2025)
par: Cruz-Duarte, Jorge Mario, et autres
Publié: (2025)
Recent Advances in Data-Driven Business Process Management
par: Ackermann, Lars, et autres
Publié: (2024)
par: Ackermann, Lars, et autres
Publié: (2024)
ZetA: A Riemann Zeta-Scaled Extension of Adam for Deep Learning
par: BC, Samiksha
Publié: (2025)
par: BC, Samiksha
Publié: (2025)
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
par: Bolshim, Maxim, et autres
Publié: (2026)
par: Bolshim, Maxim, et autres
Publié: (2026)
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
par: Jiang, Shuai, et autres
Publié: (2026)
par: Jiang, Shuai, et autres
Publié: (2026)
Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
par: Levin, Ilya
Publié: (2026)
par: Levin, Ilya
Publié: (2026)
Temporal Anchoring in Deepening Embedding Spaces: Event-Indexed Projections, Drift, Convergence, and an Internal Computational Architecture
par: Alpay, Faruk, et autres
Publié: (2025)
par: Alpay, Faruk, et autres
Publié: (2025)
Local properties of neural networks through the lens of layer-wise Hessians
par: Bolshim, Maxim, et autres
Publié: (2025)
par: Bolshim, Maxim, et autres
Publié: (2025)
Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
par: Bolshim, Maxim, et autres
Publié: (2026)
par: Bolshim, Maxim, et autres
Publié: (2026)
TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening
par: Le, Nam, et autres
Publié: (2025)
par: Le, Nam, et autres
Publié: (2025)
Deep Operator Networks for Bayesian Parameter Estimation in PDEs
par: Raj, Amogh, et autres
Publié: (2025)
par: Raj, Amogh, et autres
Publié: (2025)
Evaluation of Differential Privacy Mechanisms on Federated Learning
par: Varsani, Tejash
Publié: (2025)
par: Varsani, Tejash
Publié: (2025)
A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems
par: Ismail, Nasim Abdirahman, et autres
Publié: (2026)
par: Ismail, Nasim Abdirahman, et autres
Publié: (2026)
Deceptron: Learned Local Inverses for Fast and Stable Physics Inversion
par: Kachhadiya, Aaditya L.
Publié: (2025)
par: Kachhadiya, Aaditya L.
Publié: (2025)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
par: Du, Wenzhang
Publié: (2025)
par: Du, Wenzhang
Publié: (2025)
Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
par: Du, Wenzhang
Publié: (2025)
par: Du, Wenzhang
Publié: (2025)
How GenAI Mentor Configurations Shape Early Collaborative Dynamics: A Classroom Comparison of Individual and Shared Agents
par: Zha, Siyu, et autres
Publié: (2026)
par: Zha, Siyu, et autres
Publié: (2026)
Human Vulnerability Assessment in Cybersecurity: A Systematic Literature Review of Methods, Models, and Instruments
par: Papatsaroucha, Dimitra, et autres
Publié: (2026)
par: Papatsaroucha, Dimitra, et autres
Publié: (2026)
Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair
par: Kassinos, Stavros C.
Publié: (2025)
par: Kassinos, Stavros C.
Publié: (2025)
Predicting Traffic Accident Severity with Deep Neural Networks
par: Bibb, Meghan, et autres
Publié: (2025)
par: Bibb, Meghan, et autres
Publié: (2025)
Deep Vision: A Formal Proof of Wolstenholmes Theorem in Lean 4
par: Linhares, Alexandre
Publié: (2026)
par: Linhares, Alexandre
Publié: (2026)
Tricks and Plug-ins for Gradient Boosting with Transformers
par: Fang, Biyi, et autres
Publié: (2025)
par: Fang, Biyi, et autres
Publié: (2025)
Reinterpreting EMML as Mirror Descent for Constrained Maximum Likelihood Estimation
par: Clerc, Antonin, et autres
Publié: (2026)
par: Clerc, Antonin, et autres
Publié: (2026)
The Transformation Risk-Benefit Model of Artificial Intelligence: Balancing Risks and Benefits Through Practical Solutions and Use Cases
par: Fulton, Richard, et autres
Publié: (2024)
par: Fulton, Richard, et autres
Publié: (2024)
Policy Cards: Machine-Readable Runtime Governance for Autonomous AI Agents
par: Mavračić, Juraj
Publié: (2025)
par: Mavračić, Juraj
Publié: (2025)
Inference Scaling Reshapes AI Governance
par: Ord, Toby
Publié: (2025)
par: Ord, Toby
Publié: (2025)
Integrated Digital Management System for Railway Workshops: A Modular Multi-Workflow Architecture for Machine, Permit, Contract, and Incident Management
par: Kamble, Sharvari, et autres
Publié: (2026)
par: Kamble, Sharvari, et autres
Publié: (2026)
Bridging Voting and Deliberation with Algorithms: Field Insights from vTaiwan and Kultur Komitee
par: Yang, Joshua C., et autres
Publié: (2025)
par: Yang, Joshua C., et autres
Publié: (2025)
Adaptive Negative Scheduling for Graph Contrastive Learning
par: Ali, Adnan, et autres
Publié: (2026)
par: Ali, Adnan, et autres
Publié: (2026)
The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
par: Karn, Isha, et autres
Publié: (2025)
par: Karn, Isha, et autres
Publié: (2025)
Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
par: Mahi, Ishrak Hamim, et autres
Publié: (2026)
par: Mahi, Ishrak Hamim, et autres
Publié: (2026)
Differentially Private Feature Release for Wireless Sensing: Adaptive Privacy Budget Allocation on CSI Spectrograms
par: Yilmaz, Ipek Sena, et autres
Publié: (2025)
par: Yilmaz, Ipek Sena, et autres
Publié: (2025)
NetworkNet: A Deep Neural Network Approach for Random Networks with Sparse Nodal Attributes and Complex Nodal Heterogeneity
par: Xing, Zhaoyu, et autres
Publié: (2026)
par: Xing, Zhaoyu, et autres
Publié: (2026)
$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
par: Dang, Kieu, et autres
Publié: (2025)
par: Dang, Kieu, et autres
Publié: (2025)
Standardized Threat Taxonomy for AI Security, Governance, and Regulatory Compliance
par: Huwyler, Hernan
Publié: (2025)
par: Huwyler, Hernan
Publié: (2025)
ConvXformer: Differentially Private Hybrid ConvNeXt-Transformer for Inertial Navigation
par: Tariq, Omer, et autres
Publié: (2025)
par: Tariq, Omer, et autres
Publié: (2025)
A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content
par: Cao, Lele
Publié: (2025)
par: Cao, Lele
Publié: (2025)
The Limits of AI Explainability: An Algorithmic Information Theory Approach
par: Rao, Shrisha
Publié: (2025)
par: Rao, Shrisha
Publié: (2025)
Deep Legendre Transform
par: Minabutdinov, Aleksey, et autres
Publié: (2025)
par: Minabutdinov, Aleksey, et autres
Publié: (2025)
Documents similaires
-
Toward Self-Driving Universities: Can Universities Drive Themselves with Agentic AI?
par: Koubaa, Anis
Publié: (2026) -
NeurOptimisation: The Spiking Way to Evolve
par: Cruz-Duarte, Jorge Mario, et autres
Publié: (2025) -
Recent Advances in Data-Driven Business Process Management
par: Ackermann, Lars, et autres
Publié: (2024) -
ZetA: A Riemann Zeta-Scaled Extension of Adam for Deep Learning
par: BC, Samiksha
Publié: (2025) -
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
par: Bolshim, Maxim, et autres
Publié: (2026)