Individual skill
ieeesp-experiments
Use when designing or auditing the evaluation of an IEEE S&P (Oakland) paper, including end-to-end attack demonstration, adaptive-adversary evaluation of defenses, measurement sampling and validity, baselines and ablations, statistical reporting of attack success, and the ethics constraints that shape what experiments are permissible.
IEEE-SP-Skills/skills/ieeesp-experiments/SKILL.md
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# IEEE S&P Experiments
Use this to build or audit the evidence an S&P paper stands on. The venue's
reviewers are professional adversaries; an evaluation that would satisfy a
systems or ML PC often leaves an Oakland reviewer's central question — "does
this survive a real, adaptive attacker?" — unanswered.
## Match the evaluation to the contribution type
| Contribution | Evaluation that closes the loop | Fatal gap |
|---|---|---|
| Attack | End-to-end demonstration against a realistic, current target | Toy target; unrealistic preconditions |
| Defense | Adaptive adversary who knows the design; cost/overhead | Only non-adaptive or prior attacks |
| Measurement | Representative sampling + validation + ethics | Convenience sample presented as population |