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cs.CV2024
Attack Anything: Blind DNNs via Universal Background Adversarial Attack
Jiawei Lian, Shaohui Mei, Xiaofei Wang +5
It has been widely substantiated that deep neural networks (DNNs) are susceptible and vulnerable to adversarial perturbations. Existing studies mainly focus on performing attacks b…
cs.CV2024
PADetBench: Towards Benchmarking Physical Attacks against Object Detection
Jiawei Lian, Jianhong Pan, Lefan Wang +3
Physical attacks against object detection have gained increasing attention due to their significant practical implications. However, conducting physical experiments is extremely ti…