#backdoor-attack News & Analysis

2 articles tagged with #backdoor-attack. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · May 17/10

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Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

Researchers demonstrate a novel attack that steals sensitive secrets (API keys, personal identifiers, financial records) from locally fine-tuned language models by embedding malicious code in model architectures. The attack achieves over 98% success rate and bypasses current defense mechanisms including differential privacy and code auditing, exposing a critical supply-chain vulnerability in AI model development.

AIBearisharXiv – CS AI · Apr 107/10

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BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack

Researchers have demonstrated the first multi-targeted backdoor attack against graph neural networks (GNNs) in graph classification tasks, using a novel subgraph injection method that simultaneously redirects multiple predictions to different target labels while maintaining clean accuracy. The attack shows high efficacy across multiple GNN architectures and datasets, with resilience against existing defense mechanisms, exposing significant vulnerabilities in GNN security.