Author

Michael Collins

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#machine learning Preprint Sep 2026

Implementing a White-Box Undetectable Backdoor for Random Fourier Features

Goldwasser et al. showed that undetectable backdoors can be planted in machine learning models trained with the Random Fourier Features (RFF) algorithm, under a hardness assumption tied to the Continuous Learning With Errors (CLWE) problem. Under standard cryptographic assumptions, even a full white-box audit of a mode...

Michael Collins, J. Cumberland, Brianne Dunn et al. · 0 citations

Preprint Aug 2026

Weird Machines in Transport Layer Security

It is shown that legitimate TLS primitives, including session cache entries, renegotiation logic, extension parsing, and certificate verification steps, compose into Turing-complete systems whose computation is coupled to authentication and trust decisions rather than physical actuation.

Michael Collins, J. Cumberland, Brianne Dunn et al. · 0 citations