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Sprint projectMay 4, 2026

Synthesis Tamper-evident Attestation and Molecular Provenance (STAMP): Cryptographic Molecular Barcoding for DNA Synthesizers

Nicole Lai-Lopez, Ethan Lai · Team STAMP

Submitted to AIxBio Hackathon. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: Synthesis Tamper-evident Attestation and Molecular Provenance (STAMP): Cryptographic Molecular Barcoding for DNA Synthesizers

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As AI systems become more capable at biological design and benchtop DNA synthesizers more affordable, the biothreat bottleneck shifts from design to physical synthesis, beyond the reach of centralized customer screening. We introduce STAMP (Synthesis Tamper-evident Attestation and Molecular Provenance), a 120-base barcode an HSM-equipped synthesizer stamps into a non-coding region of every DNA it produces, attesting that a sequence originated from a registered, untampered synthesizer and was not significantly modified post-synthesis. STAMP combines cryptographic anchoring with a novel content-aware landmark map enabling forensic reconstruction of post-synthesis modifications. Empirically, the encoder achieves success across N = 2000 random plasmids and the privacy-preserving barcode landmark signal detects >=95% of kilobase-scale insertions. We do not claim to defeat attackers with jailbroken synthesizers; we prove this is irreducible. Instead, STAMP is a cost imposer and evidence generator: it converts every viable attack into a forensically suspicious artifact or a supply-chain-visible event.

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How much would this matter for AI safety if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical AI safety problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.

  1. STAMP seems like a working technique for barcoding but I'm not seeing the specific problem it's trying to address. The case study presented shows that you would be able to detect a tampered plasmid using the STAMP barcode but (1) this doesn't always mean there's malicious intent and (2) the detection of tampering doesn't prevent acquisition of the plasmid. I understand the solution, but I am not seeing the problem this solves or the attacks that this mitigates. The attacks described in the submission point out attacks against STAMP, which I think are sufficiently mitigated. What seems missing to me are the risks in the biotech ecosystem that STAMP mitigates.

  2. Note: This is relevant for general trackability of synthetic

    sequences, but the question below about relevance for *AI* safety in

    particular is thus mis-posed. AI really doesn't have to be part of

    every question these days. So I'm leaving that set to its default

    neutral because that question doesn't match the more-general

    techniques in this submission.

    This is an interesting idea which has a number of issues which might

    make it infeasible, but still worth considering:

    (a) Synthesizers make errors. I see you're trying to ameliorate that

    with your Hamming codes, but those only cover the barcode itself.

    I'm assuming that the occasional errored landmark wouldn't be that

    critical because the chances of that one single base being wrong

    aren't individually high and the chances of *many* of the landmarks

    being wrong is even smaller, assuming that we can assume statistical

    independence.

    (b) ...buuut: doesn't even a single-bit error break the hash?

    Even a single incorrect landmark base would invalidate the hash,

    and I don't see way around this unless you run ECC/RS/Hamming

    along the landmarks, too, which I guess you could do.

    (c) It's unfortunate that this can only detect ~kb insertions. Yes,

    it'd be hard to do better without too much overhead, but it also means

    that someone who can just assemble from oligos will defeat this, so

    it's raising the bar but isn't going to be a complete solution.

    (d) HSMs are *expensive.* Having personally advised benchtop vendors

    on their machine security, it's apparent that even spending the small

    amount of extra money it takes for a single-board computer which

    allows adding a TPM chip (as opposed to ones which don't even have a

    place on the board one may be attached) isn't something vendors are

    going to do unless forced, such as via legislation. Expecting them

    to do a good job about secure boot chains and the like isn't likely

    in the near future absent some way to make this a commercial priority.

    (e) A public ledge is going to be a hard sell, because it's going to

    be hard to convince vendors you're not hiding information flows if the

    machine reaches out to the network -- but it's not an *impossible*

    sell. OTOH, claiming that you can "sunset" a public ledger is very

    likely infeasible because if it's public, someone can keep a copy.

    I don't see how you have both at once.

    (f) A 12-bit synth ID isn't long enough if this industry ever really

    takes off. You probably don't need IPv6's 128-bit overcompensation

    for IPv4's 32-bit limit, but you should think harder about a

    representation which can at least be variable-length if the number

    of synths grows.

    (g) I'm not sure an attacker couldn't just make their own primers.

    *Maybe* section 3.5 says they can't do this, but I'm uncertain.

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Cite this project

@misc{lailopez2026synthesis,
  title = {{Synthesis Tamper-evident Attestation and Molecular Provenance (STAMP): Cryptographic Molecular Barcoding for DNA Synthesizers}},
  author = {Nicole Lai-Lopez and Ethan Lai},
  year = {2026},
  month = may,
  note = {Submitted to AIxBio Hackathon, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/synthesis-tamperevident-attestation-and-molecular-provenance-stamp-cryptographic-molecular-barcoding-for-dna-synthesizers-jn4s}},
  url = {https://apartresearch.com/sprints/projects/synthesis-tamperevident-attestation-and-molecular-provenance-stamp-cryptographic-molecular-barcoding-for-dna-synthesizers-jn4s}
}
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