Inevitable Encounters: Backdoor Attacks Involving Lossy Compression
Real-world backdoor attacks often require poisoned datasets to be stored and transmitted before being used to compromise deep learning systems. However, in the era of big data, the inevitable use of lossy compression poses a fundamental challenge to invisible backdoor attacks. We find that triggers embedded in RGB images often become ineffective after the images are lossily compressed into binary bitstreams (e.g., JPEG files) for storage and transmission. As a result, the poisoned data lose its malicious effect after compression, causing backdoor injection to fail. In this paper, we highlight the necessity of explicitly accounting for the lossy compression process in backdoor attacks. Thi...
| Authors | Qian Li, Yunuo Chen, Yuntian Chen |
|---|---|
| Primary category | cs.CR |
| Published | 14 March 2026 |
| Last updated at source | 15 May 2026 |
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