{"data":{"id":"69be8f52-9beb-4035-ae73-58633a8d6367","title":"DisT-FL: Enhancing Security for TEE-Based Aggregation in Federated Learning","summary":"Federated learning (a machine learning approach where multiple computers train a model together without sharing raw data) systems using TEEs (trusted execution environments, secure areas within processors that protect data even from the main operating system) can be attacked by malicious servers that exploit TEE limitations like state rollback (reverting to previous states) and I/O manipulation (tampering with input/output). This paper presents DisT-FL, a solution using multiple TEEs working together in an append-only ledger (an unchangeable record of transactions) to secure federated learning aggregation (combining results from all participants) and prevent these attacks.","solution":"DisT-FL uses a distributed system of servers guarded by multiple TEEs forming an append-only ledger. It ensures operation linearizability (a property guaranteeing operations happen in a consistent order) to thwart state rollback attacks and incorporates inputs from reliable servers to mitigate I/O manipulation threats.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11614556","publishedAt":"2026-07-20T13:17:07.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_poisoning","data_extraction"],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-07-20T13:17:07.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","confidentiality"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}