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pre-trained-models

topic2 events
papersTODAY 04:00 UTC

arXiv Paper Proposes Continual Learning Method Built on Pre-trained Models

A revised arXiv preprint describes a continual learning approach that leverages pre-trained models to help systems keep earlier knowledge while picking up new tasks. The work targets catastrophic forgetting, where performance on previously learned tasks degrades as new ones are acquired. The paper is listed as a replacement submission, with no peer-reviewed venue indicated.

continual-learning/pre-trained-models/catastrophic-forgetting/research
papersTODAY 04:00 UTC

SynGhost backdoor attack targets pre-trained models across downstream tasks

Researchers present SynGhost, a backdoor attack that exploits vulnerabilities in pre-training data and training pipelines to implant triggers that persist across many downstream tasks. The method uses syntactic transfer to make the injected triggers hard to detect while remaining task-agnostic. The paper appears as an arXiv cs.AI cross-listing revision.

safety/backdoor/pre-training/security