Fixed-Set Robustness in Programming by Example: Example Corruption and Semantic Partition Recovery
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arXiv:2607.01280v1 Announce Type: new Abstract: Programming-by-example systems infer programs from a small set of input-output examples. Robust PBE work usually models wrong examples as samples from a stochastic noise process and then minimizes an expected or empirical loss. This paper studies a different failure mode: an adversary who sees the synthesizer and chooses the examples whose corruption most damages the returned program. We formalize fixed-set worst-case corruption for finite PBE…
1Key Takeaways
- arXiv:2607.01280v1 Announce Type: new Abstract: Programming-by-example systems infer programs from a small set of input-output examples.
- Robust PBE work usually models wrong examples as samples from a stochastic noise process and then minimizes an expected or empirical loss.
- This paper studies a different failure mode: an adversary who sees the synthesizer and chooses the examples whose corruption most damages the returned program.
- We formalize fixed-set worst-case corruption for finite PBE….
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3Why it matters
Research breakthroughs often arrive in products months later—early signals matter for strategy. arXiv ML reports that arXiv:2607.01280v1 Announce Type: new Abstract: Programming-by-example systems infer programs from a small set of input-output examples.
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