Protecting Language Models Against Unauthorized Distillation through Trace Rewriting | ScienceToStartup | ScienceToStartup

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References (30)

[1]

Information-Preserving Reformulation of Reasoning Traces for Antidistillation

2025Jiayu Ding, Lei Cui et al.

[2]

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data

2025Zi Liang, Qingqing Ye et al.

[3]

Antidistillation Sampling

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"A method to modify LLM outputs to prevent unauthorized knowledge distillation and embed verifiable watermarks in student models."

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Protecting Language Models Against Unauthorized Distillation through Trace Rewriting

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References (30)

Founder's Pitch

"A method to modify LLM outputs to prevent unauthorized knowledge distillation and embed verifiable watermarks in student models."

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Protecting Language Models Against Unauthorized Distillation through Trace Rewriting

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References (30)

Founder's Pitch

"A method to modify LLM outputs to prevent unauthorized knowledge distillation and embed verifiable watermarks in student models."

Commercial Viability Breakdown

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