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Natural Backdoor Datasets. (arXiv:2206.10673v1 [cs.CV])
June 23, 2022, 1:20 a.m. | Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji, Josephine Passananti, Emilio Andere, Haitao Zheng, Ben Y. Zhao
cs.CR updates on arXiv.org arxiv.org
Extensive literature on backdoor poison attacks has studied attacks and
defenses for backdoors using "digital trigger patterns." In contrast, "physical
backdoors" use physical objects as triggers, have only recently been
identified, and are qualitatively different enough to resist all defenses
targeting digital trigger backdoors. Research on physical backdoors is limited
by access to large datasets containing real images of physical objects
co-located with targets of classification. Building these datasets is time- and
labor-intensive. This works seeks to address the challenge …
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