A method using randomized image subsets enables PRNU-based source camera attribution on Patch-Match anonymized image sets.
THREATRACE: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning
4 Pith papers cite this work. Polarity classification is still indexing.
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GRASP detects anomalies in system provenance graphs via self-supervised executable prediction from two-hop neighborhoods, outperforming prior PIDS on DARPA datasets by identifying all documented attacks where behaviors are learnable plus additional unlabeled suspicious activity.
PenTiDef integrates distributed differential privacy, autoencoder-based latent semantic representations with CKA and K-Means clustering for malicious update detection, and blockchain-orchestrated secure FedAvg to deliver higher detection accuracy and F1-score than FLARE and FedCC under up to 40%
The report assembles abstracts of invited talks, presentations, and posters from the FFCS conference on foundational limits and emerging paradigms in communication.
citing papers explorer
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PRNU Based Source Camera Attribution for Image Sets Anonymized with Patch-Match Algorithm
A method using randomized image subsets enables PRNU-based source camera attribution on Patch-Match anonymized image sets.
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GRASP -- Graph-Based Anomaly Detection Through Self-Supervised Classification
GRASP detects anomalies in system provenance graphs via self-supervised executable prediction from two-hop neighborhoods, outperforming prior PIDS on DARPA datasets by identifying all documented attacks where behaviors are learnable plus additional unlabeled suspicious activity.
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PenTiDef: Decentralized Federated Intrusion Detection System with Differential Privacy and Latent-Space Defense via Blockchain Coordination in IIoT
PenTiDef integrates distributed differential privacy, autoencoder-based latent semantic representations with CKA and K-Means clustering for malicious update detection, and blockchain-orchestrated secure FedAvg to deliver higher detection accuracy and F1-score than FLARE and FedCC under up to 40%
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Foundations of Future Communication Systems: Innovations in Communication - A Report
The report assembles abstracts of invited talks, presentations, and posters from the FFCS conference on foundational limits and emerging paradigms in communication.