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pro vyhledávání: '"Tan, Yaoteng"'
Unauthorized privacy-related and copyrighted content generation using generative-AI is becoming a significant concern for human society, raising ethical, legal, and privacy issues that demand urgent attention. The EU's General Data Protection Regulat
Externí odkaz:
http://arxiv.org/abs/2407.11867
We introduce transformation-dependent adversarial attacks, a new class of threats where a single additive perturbation can trigger diverse, controllable mis-predictions by systematically transforming the input (e.g., scaling, blurring, compression).
Externí odkaz:
http://arxiv.org/abs/2406.08443
We propose an approach for adversarial attacks on dense prediction models (such as object detectors and segmentation). It is well known that the attacks generated by a single surrogate model do not transfer to arbitrary (blackbox) victim models. Furt
Externí odkaz:
http://arxiv.org/abs/2303.14304