AI Data Attacks: Poison the Data, or Just Swap the Model File
AI data attacks explained: how poisoning hits each stage of an ML pipeline, plus a hands-on lab where a malicious pickle model file runs code the moment you load it.
3 write-ups tagged Machine Learning Security. Browse all tags or the full blog.
AI data attacks explained: how poisoning hits each stage of an ML pipeline, plus a hands-on lab where a malicious pickle model file runs code the moment you load it.
Topic 6 of my AI track: cleaning messy network logs with pandas, encoding and splitting them, training a threat classifier, and why accuracy lies in security.
I poisoned 3.29% of a spam filter's training data and planted a working backdoor. Accuracy stayed at 94.12%, and my canary tests all passed.