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Author

Debdip Bandyopadhyay

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9 papers indexed here

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#generative ai Dataset Open access Oct 2026

Model Parameter-Scale Classification and Black-Box Provenance Auditing via Multi-Density Reverse Cloze Resonance Spectroscopy

As generative foundation models become embedded across commercial chatbots, autonomous agents, and synthetic content streams, determining the underlying parameter capacity tier (8B, 24B, 70B, or 600B+ MoE) and architectural lineage of black-box text outputs has emerged as a fundamental challenge in AI forensics, regula...

Debdip Bandyopadhyay · 0 citations
#generative ai Open access Sep 2026

Genre-Routed Generative Resonance: Black-Box AI Text Detection via Dual-Horizon Probing and Structural Rhythm

This paper addresses the fundamental vulnerabilities of current AI text detectors: their dependence on closed proprietary token probabilities and their severe false positive bias against non-native English writers. We introduce Genre-Routed Generative Resonance, a black-box detection framework that queries open surroga...

Debdip Bandyopadhyay · 0 citations
#large language models Open access Sep 2026

Genre-Routed Generative Resonance: Black-Box AI Text Detection via Dual-Horizon Probing and Structural Rhythm

Detecting text synthesized by frontier large language models (LLMs) remains a critical requirement for academic integrity, digital forensics, and media authenticity. Existing zero-shot detectors exhibit severe real-world failure modes: token-curvature methods (DetectGPT, Fast-DetectGPT) require inaccessible white-box m...

Debdip Bandyopadhyay · 0 citations
#large language models Open access Sep 2026

Genre-Routed Generative Resonance: Black-Box AI Text Detection via Dual-Horizon Probing and Structural Rhythm

Detecting text synthesized by frontier large language models (LLMs) remains a critical requirement for academic integrity, digital forensics, and media authenticity. Existing zero-shot detectors exhibit severe real-world failure modes: token-curvature methods (DetectGPT, Fast-DetectGPT) require inaccessible white-box m...

Debdip Bandyopadhyay · 0 citations
#diffusion models Open access Sep 2026

Neural Codec Resonance: Investigating Zero-Shot Generative Music and Speech Forensics via Multi-Resolution Spectral and Phase Invariances

odels—spanning neural vocoders, latent diffusion architectures,and discrete neural codecs—have enabled the synthesis ofhighly realistic musical pieces and vocal performances. Whiledata-driven classifiers frequently overfit to superficial datasetartifacts, physically grounded methods aim to detect the invariantmathemati...

Debdip Bandyopadhyay · 0 citations
#diffusion models Open access Sep 2026

Neural Codec Resonance: Investigating Zero-Shot Generative Music and Speech Forensics via Multi-Resolution Spectral and Phase Invariances

odels—spanning neural vocoders, latent diffusion architectures,and discrete neural codecs—have enabled the synthesis ofhighly realistic musical pieces and vocal performances. Whiledata-driven classifiers frequently overfit to superficial datasetartifacts, physically grounded methods aim to detect the invariantmathemati...

Debdip Bandyopadhyay · 0 citations
#diffusion models Open access Sep 2026

Latent Resonance: Zero-Shot Autoencoder Inversion and Azimuthal Spectral Forensics for Diffusion Image Attribution

Modern latent diffusion models (LDMs) synthesizephotographic imagery with fidelity that evades human perceptionand frustrates conventional convolutional neural network classi-fiers. Existing forensic detectors rely predominantly on supervisedbinary classifiers that overfit to specific semantic domainsor depend on close...

Debdip Bandyopadhyay · 0 citations
#diffusion models Open access Sep 2026

Latent Resonance: Zero-Shot Autoencoder Inversion and Azimuthal Spectral Forensics for Diffusion Image Attribution

Modern latent diffusion models (LDMs) synthesizephotographic imagery with fidelity that evades human perceptionand frustrates conventional convolutional neural network classi-fiers. Existing forensic detectors rely predominantly on supervisedbinary classifiers that overfit to specific semantic domainsor depend on close...

Debdip Bandyopadhyay · 0 citations
#diffusion models Open access Sep 2026

Latent Resonance: Zero-Shot Autoencoder Inversion and Azimuthal Spectral Forensics for Diffusion Image Attribution

Modern latent diffusion models (LDMs) synthesizephotographic imagery with fidelity that evades human perceptionand frustrates conventional convolutional neural network classi-fiers. Existing forensic detectors rely predominantly on supervisedbinary classifiers that overfit to specific semantic domainsor depend on close...

Debdip Bandyopadhyay · 0 citations

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