New constructions of pseudorandom codes
On the map: LLM safety and security → Watermarking generated content and models
Abstract (arXiv)
Introduced in [CG24], pseudorandom error-correcting codes (PRCs) are a new cryptographic primitive with applications in watermarking generative AI models. These are codes where a collection of polynomially many codewords is computationally indistinguishable from random for an adversary that does not have the secret key, but anyone with the secret key is able to efficiently decode corrupted codewords. In this work, we examine the assumptions under which PRCs with robustness to a constant error rate exist. 1. We show that if both the planted hyperloop assumption introduced in [BKR23] and security of a version of Goldreich's PRG hold, then there exist public-key PRCs for which no efficient adversary can distinguish a polynomial number of codewords from random with better than o(1) advantage. 2. We revisit the construction of [CG24] and show that it can be based on a wider range of assumptions than presented in [CG24]. To do this, we introduce a weakened version of the planted XOR assumption which we call the weak planted XOR assumption and which may be of independent interest. 3. We initiate the study of PRCs which are secure against space-bounded adversaries. We show how to construct secret-key PRCs of length O(n) which are textitunconditionally indistinguishable from random by poly(n) time, O(n1.5-varepsilon) space adversaries.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Placed in Watermarking generated content and models, one of 12 directions in LLM safety and security. First posted on arXiv 11 Sep 2024.
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Citing papers per year: 2024: 2.
2 papers.
- 2024An Undetectable Watermark for Generative Image Modelscited by 74
- 2024SoK: Watermarking for AI-Generated Contentcited by 43
- 2024SoK: Watermarking for AI-Generated Content27 Nov 2024
- 2024An Undetectable Watermark for Generative Image Models9 Oct 2024