Power Adjusting Games Under Block-Dependent Pool Payout Schemes
Advanced power adjusting block withholding attacks such as PAW and T-PAW have been analyzed so far under a global-reset
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共收录 158 条相关情报。
← 返回所有主题DICE: Decentralized Incentive-driven Federated Learning for Efficient & Scalable Customization of Pretrained Models in Web3
Customizing Pretrained Models (PMs) for downstream tasks demands task-specific data, which burgeoning Web3 applications
Trustworthy Distributed Machine Learning in Cloud-Edge-IoT Systems: A Heterogeneity-Aware Survey of Security, Privacy, and Robustness
Distributed machine learning (DML), including conventional distributed training and federated learning (FL), enables col
The use of post-quantum cryptography in the automotive context
This study comparatively evaluates post-quantum cryptography (PQC) in automotive communication scenarios, considering th
Merkle-Tree-Based Verifiable Public Data Auditing for Cloud Object Storage Using Smart Contracts
Owners of data in cloud object storage cannot directly check whether the provider still keeps every object unchanged. Ex
NovaFabric: A Black-Box Recorder for AI Agents with Sealed, Replayable, Diffable and Auditable Runs
An AI agent run is no longer a function call. It is a cascade of prompts, model calls, tool invocations, file and networ
Who Verifies the Verifiers? Accountable Semantic Consensus for AI-Mediated Web Information Verification
Large language models (LLMs) increasingly decide whether Web evidence supports online claims, often by voting over sever
A Deterministic Security Runtime for LLM Agents on MPI and Batch-Scheduled HPC Systems: Consensus-Governed, Hardware-Rooted Supervision of Every Rank
Large language model agents launch simulations on high-performance computing (HPC) systems, where one sbatch or mpirun c
Quantum Cadence: Post-Quantum Consensus with Multiple Concurrent Proposers
The consensus protocols of most high-performance blockchains use quorum certificates, which bundle the signatures of a q
SILMARILS-MV: Information-Theoretically Secure Multi-Verifier Signatures with Dealer-Free Key Issuance and Linear Aggregation for Permissioned Blockchains
Permissioned blockchains authenticate transactions, votes and quorum certificates with computationally secure signatures
Evolving Federated Density Peak Clustering with Shuffler-Based Anonymization
In this paper, we present a novel one-shot federated clustering approach based on evolving fuzzy clustering and shuffler
Temporal Liquidity Crossing for Blockchains: An EIP-1559 Extension for Admission Below the Base Fee
Transactions differ in how their value changes with execution time and relative position. Ethereum's EIP-1559 lets them
PQ-Vault: Provably Quantum-Safe Asset Custody for Unmodified Ethereum
A quantum computer could recover the key of any Ethereum account whose public key appears on chain. We prove that no sid
Correlated Failures of AI Approval Monitors
Before an AI agent takes a consequential action, such as paying, messaging or changing code, several monitors check it.
Execution-Time Validation of Context-Carrying Action Intents in Industrial Cyber-Physical Systems
In industrial cells, commands from learned policies, operators and schedulers reach the controller after inference, conf
Peer-Relative Trust-Guided Update Screening for Robust Semi-Decentralized Federated Learning under Label-Flipping Attacks
Trust and reputation mechanisms can reduce the influence of malicious clients in federated learning (FL), but strict upd
Federated Learning for Malware Image Classification under Data Heterogeneity
Malware image classification (MIC), in which binary files are converted into visual representations and deep neural netw
Hierarchical Rule Auditing with Exact Ternary GPU Correlation
Auditing firewall logs against requirements mapped to controls and frameworks must retain overlapping obligations, prese
BitPCE: Batched Multi-Dimensional PolicyResolution with GPU Bitmap Algebra
Policy controllers must determine which workloads match rules spanning several label dimensions. Hash sets, compressed b
Empirical Analysis of TEE-Enabled Rollup Designs
Layer 2 (L2) rollups have become the dominant scaling solution in Ethereum. At the core of these systems lies the rollup