Kristian Gjsteen
1 indexed paper
Recent (6 mo)
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126
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Crypto×1ML×1
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2026
Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks
The paper demonstrates that cryptographically undetectable backdoors can be embedded into modern, state-of-the-art neural networks by exploiting inherent, latent geometric properties of the learned representation space.
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