BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.¶
Gu, T., Dolan-Gavitt, B., & Garg, S. (2017). BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Trusted Intermediary Compromise
- AI supply chain. Poisoned training data ingested through scraped corpora, trojaned model checkpoints used without artefact-level verification, and benchmark contamination that produces falsely trustworthy numbers.
This sourceDemonstrates trojaned model checkpoints and poisoned training producing hidden backdoors in the ML supply chain.
- AI supply chain. Poisoned training data ingested through scraped corpora, trojaned model checkpoints used without artefact-level verification, and benchmark contamination that produces falsely trustworthy numbers.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:bea631042d7e · see in the full table