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Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
Research article (2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021) · cited 24× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Robust Backdoor Attacks against Deep Neural Networks in Real Physical World. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-backdoor-attacks-against-deep-neural-networks-in-real-physical-world
MLA“Robust Backdoor Attacks against Deep Neural Networks in Real Physical World.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-backdoor-attacks-against-deep-neural-networks-in-real-physical-world.
BibTeX@misc{4ortxyz_robust-backdoor-attacks-against-deep-neural-networks-in-real-physical-world_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust Backdoor Attacks against Deep Neural Networks in Real Physical World}}, year = {2026}, url = {https://4ort.xyz/entity/robust-backdoor-attacks-against-deep-neural-networks-in-real-physical-world}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust Backdoor Attacks against Deep Neural Networks in Real Physical World — https://4ort.xyz/entity/robust-backdoor-attacks-against-deep-neural-networks-in-real-physical-world (retrieved 2026-05-24)