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Object detection models are surprisingly vulnerable to practical backdoor attacks using real-world semantic triggers that work across different sizes, locations, and viewpoints.
Forget single-location triggers: PASTA shows you can backdoor Vision Transformers with triggers placed *anywhere* and still achieve 99% attack success, all while being nearly undetectable.
