Argus enables backdoor detection in decentralized ML by collaborative neighbor-based validation of triggers, backed by convergence theory and reducing attack success by up to 90% on tested datasets.
Baffle: Backdoor detection via feedback-based federated learning
7 Pith papers cite this work, alongside 67 external citations. Polarity classification is still indexing.
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Flutter achieves 2Δ + ε good-case latency for Byzantine Total Order Broadcast via a new binary consensus called Blink, under partial synchrony with 5f+1 servers.
CIR is a cross-platform container image format for Python/R-style apps that defers dependency assembly to deployment, cutting image size by 95% and deployment time by 40-60% versus traditional bundled images.
CoBRA extends any quorum-based SMR protocol to tolerate 1/3 Byzantine plus 1/3 rational validators via finalization changes and adds a recovery mechanism for higher fault levels with client reimbursement.
Integrating a blockchain-based trust/reputation model with Schnorr signatures into Raft keeps malicious leaders below 5% with under 10% throughput loss at 40% Byzantine nodes.
PushCen-ADFL is a centroid-based asynchronous federated learning method that applies average-preserving push-sum mixing and regularization to reduce aggregation bias and model drift, claiming up to 6% accuracy gains and 80% lower communication on vision tasks.
A survey that examines fragmentation in existing 6G security approaches, develops a cross-layer threat taxonomy, maps countermeasures, and identifies research gaps for trustworthy AI-native 6G ecosystems.
citing papers explorer
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Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning
Argus enables backdoor detection in decentralized ML by collaborative neighbor-based validation of triggers, backed by convergence theory and reducing attack success by up to 90% on tested datasets.
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Fast Byzantine Total Order Broadcast
Flutter achieves 2Δ + ε good-case latency for Byzantine Total Order Broadcast via a new binary consensus called Blink, under partial synchrony with 5f+1 servers.
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CIR: Lightweight Container Image for Cross-Platform Deployment
CIR is a cross-platform container image format for Python/R-style apps that defers dependency assembly to deployment, cutting image size by 95% and deployment time by 40-60% versus traditional bundled images.
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CoBRA: A Universal Strategyproof Confirmation Protocol for Quorum-based Proof-of-Stake Blockchains
CoBRA extends any quorum-based SMR protocol to tolerate 1/3 Byzantine plus 1/3 rational validators via finalization changes and adds a recovery mechanism for higher fault levels with client reimbursement.
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TRM-Raft: A Byzantine-Resistant Raft Consensus via Integrated Trust and Reputation Model
Integrating a blockchain-based trust/reputation model with Schnorr signatures into Raft keeps malicious leaders below 5% with under 10% throughput loss at 40% Byzantine nodes.
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On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach
PushCen-ADFL is a centroid-based asynchronous federated learning method that applies average-preserving push-sum mixing and regularization to reduce aggregation bias and model drift, claiming up to 6% accuracy gains and 80% lower communication on vision tasks.
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Toward a Unified Security and Privacy Framework for AI-Native 6G Networks
A survey that examines fragmentation in existing 6G security approaches, develops a cross-layer threat taxonomy, maps countermeasures, and identifies research gaps for trustworthy AI-native 6G ecosystems.