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2024-08-23 15:34:13

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Open Graph

title

description

Research on Deep Learning Backdoors

site name

author

updated

2026-02-19 08:18:06

raw text

Backdoors in Deep Learning Backdoors in Deep Learning Workshop 2023 Backdoors in Deep Learning @ NeurIPS 2023 The Good, the Bad and the Ugly - Modern AI development requires using and sharing of models and data safely. Uncovering backdoor, a foe and a friend at the front door. Deep neural networks (DNNs) are revolutionizing almost all AI domains and have become the core of many modern AI systems. Despite their superior performance compared to classical methods, DNNs also face new security problems, such as adversarial and backdoor attacks, that are hard to discover and resolve due to their black-box-like property. Backdoor attacks are possible because of insecure model pretraining and outsourcing practices. Due to the complexity and the tremendous cost of collecting data and training models, many individuals/companies employ models or training data from third parties. Malicious third parties can add backdoors into their models or poison their released data before del...

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