Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation

Research article (2023 IEEE Symposium on Security and Privacy (SP), 2023) · cited 26× · AI/ML
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Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation

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Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation. Retrieved May 24, 2026, from https://4ort.xyz/entity/redeem-myself-purifying-backdoors-in-deep-learning-models-using-self-attention-distillation
MLA “Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/redeem-myself-purifying-backdoors-in-deep-learning-models-using-self-attention-distillation.
BibTeX @misc{4ortxyz_redeem-myself-purifying-backdoors-in-deep-learning-models-using-self-attention-distillation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation}}, year = {2026}, url = {https://4ort.xyz/entity/redeem-myself-purifying-backdoors-in-deep-learning-models-using-self-attention-distillation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation — https://4ort.xyz/entity/redeem-myself-purifying-backdoors-in-deep-learning-models-using-self-attention-distillation (retrieved 2026-05-24)

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