Cover Image

How to Beat Nakamoto in the Race

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Shu-Jie, Guo, Dongning
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Security, Latency, and Throughput of Proof-of-Work Nakamoto Consensus
by: Cao, Shu-Jie, et al.
Published: (2023)

Larger Scale Offers Better Security in the Nakamoto-style Blockchain
by: Hu, Junjie
Published: (2025)

Larger-scale Nakamoto-style Blockchains Don't Necessarily Offer Better Security
by: Albrecht, Jannik, et al.
Published: (2024)

Selfish Mining in Multi-Attacker Scenarios: An Empirical Evaluation of Nakamoto, Fruitchain, and Strongchain
by: Perešíni, Martin, et al.
Published: (2026)

Nakamoto Consensus from Multiple Resources
by: Baig, Mirza Ahad, et al.
Published: (2025)

Nakamoto Consensus under Bounded Processing Capacity
by: Kiffer, Lucianna, et al.
Published: (2023)

Fault-Tolerant Spectrum Usage Consensus for Low-Earth-Orbit Satellite Constellations
by: Mollakhani, Arman, et al.
Published: (2023)

Timestamp Manipulation: Timestamp-based Nakamoto-style Blockchains are Vulnerable
by: Hu, Junjie, et al.
Published: (2025)

From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists
by: Cecconello, Stefano, et al.
Published: (2026)

Blind Baselines Beat Membership Inference Attacks for Foundation Models
by: Das, Debeshee, et al.
Published: (2024)

Work-in-Progress: Crash Course: Can (Under Attack) Autonomous Driving Beat Human Drivers?
by: Marchiori, Francesco, et al.
Published: (2024)

RaceTEE: Enabling Interoperability of Confidential Smart Contracts
by: Zhang, Keyu, et al.
Published: (2025)

Payout Races and Congested Channels: A Formal Analysis of Security in the Lightning Network
by: Weintraub, Ben, et al.
Published: (2024)

FibRace: a large-scale benchmark of client-side proving on mobile devices
by: Malatrait, Simon, et al.
Published: (2025)

Double Spending Analysis of Nakamoto Consensus for Time-Varying Mining Rates with Ruin Theory
by: Doger, Mustafa, et al.
Published: (2024)

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps
by: Liu, Ruixuan, et al.
Published: (2024)

Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing
by: Wen, Jinghao, et al.
Published: (2022)

MarkSweep: A No-box Removal Attack on AI-Generated Image Watermarking via Noise Intensification and Frequency-aware Denoising
by: Cao, Jie, et al.
Published: (2026)

Revisiting Label Inference Attacks in Vertical Federated Learning: Why They Are Vulnerable and How to Defend
by: Liu, Yige, et al.
Published: (2026)

The Adaptive Arms Race: Redefining Robustness in AI Security
by: Tsingenopoulos, Ilias, et al.
Published: (2023)

DUAP: Dual-task Universal Adversarial Perturbations Against Voice Control Systems
by: Sun, Suyang, et al.
Published: (2026)

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI
by: Zhang, Zelin, et al.
Published: (2026)

SRAM-based Physically Unclonable Function using Lightweight Hamming-Code Fuzzy Extractor for Energy Harvesting Beat Sensors
by: Pham, Hoang-Long, et al.
Published: (2025)

Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
by: Muthukrishnan, Gokularam, et al.
Published: (2023)

Targeted Nakamoto: A Bitcoin Protocol to Balance Network Security and Carbon Emissions
by: Aronoff, Daniel
Published: (2024)

Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S
by: Badrinarayanan, Saikrishna, et al.
Published: (2024)

When Graph Convolution Meets Double Attention: Online Privacy Disclosure Detection with Multi-Label Text Classification
by: Liang, Zhanbo, et al.
Published: (2023)

Do Modern Post-Hoc Watermarking Methods Beat Broken-Arrows?
by: Gesny, Enoal, et al.
Published: (2026)

A Context-Sensitive, Outlier-Based Static Analysis to Find Kernel Race Conditions
by: Dossche, Niels, et al.
Published: (2024)

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
by: Zhang, Jianqing, et al.
Published: (2025)

A Robust Certified Machine Unlearning Method Under Distribution Shift
by: Guo, Jinduo, et al.
Published: (2026)

Kite: How to Delegate Voting Power Privately
by: Nazirkhanova, Kamilla, et al.
Published: (2025)

How to Steal Reasoning Without Reasoning Traces
by: Zhang, Tingwei, et al.
Published: (2026)

How Secure is Code Generated by ChatGPT?
by: Khoury, Raphaël, et al.
Published: (2023)

Algorithms for Sparse LPN and LSPN Against Low-noise
by: Chen, Xue, et al.
Published: (2024)

Dye4AI: Assuring Data Boundary on Generative AI Services
by: Wang, Shu, et al.
Published: (2024)

You Still See Me: How Data Protection Supports the Architecture of AI Surveillance
by: Yew, Rui-Jie, et al.
Published: (2024)

Beating Backdoor Attack at Its Own Game
by: Liu, Min, et al.
Published: (2023)

Takedown: How It's Done in Modern Coding Agent Exploits
by: Lee, Eunkyu, et al.
Published: (2025)

How Blind and Low-Vision Users Manage Their Passwords
by: Ponticello, Alexander, et al.
Published: (2025)