Author

Redwanul Karim

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#artificial intelligence Preprint Oct 2026

Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow

Recent neural power-flow solvers, including emerging foundation models, achieve accurate voltage predictions, yet such accuracy does not necessarily imply physically consistent solutions. Even small complex voltage errors can yield large AC power-balance residuals. We study this accuracy-consistency gap across PIGNN-GC...

Changhun Kim, Tim Conrad, Redwanul Karim et al. · 0 citations

#machine learning Preprint Jul 2026

Steal the Knowledge, Inherit the Mark: TwinMark for Distillation Watermarking via Second Moments and Class Multiplexing

Results establish output-matched inheritance under the evaluated protocols, not resistance to all utility-preserving transformations, not resistance to all utility-preserving transformations.

Redwanul Karim, Tobias Feigl, Christopher Mutschler et al. · 0 citations

#machine learning Open access Sep 2026

ZK-Trace: Certified Collusion Tracing with Zero-Knowledge Credentials for Federated GNSS Interference Monitoring

This work establishes conditional false-accusation bounds for arbitrary recovered bit patterns, a finite completeness bound under a hidden-bias residual channel, and a deterministic tracing-score bound for correlated feature-distillation errors to support verifiable tracing under explicit statistical and cryptographic...

Redwanul Karim, N. Raichur, Lucas Heublein et al. · IEEE Transactions on Aerospa... · 0 citations