Evidence Receipt. Related Resources.
Hunting CUDA Bugs at Scale with cuFuzz
Compared to this week’s papers
Verification pending
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/hunting-cuda-bugs-at-scale-with-cufuzz
- Proof freshness
- stale
- Proof status
- verified
- Display score
- 9/10
- Last proof check
- 2026-03-17
- Score updated
- 2026-04-02
- Score fresh until
- 2026-05-02
- References
- 0
- Source count
- 0
- Coverage
- 33%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Hunting CUDA Bugs at Scale with cuFuzz
Canonical ID hunting-cuda-bugs-at-scale-with-cufuzz | Route /signal-canvas/hunting-cuda-bugs-at-scale-with-cufuzz
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/hunting-cuda-bugs-at-scale-with-cufuzzMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "hunting-cuda-bugs-at-scale-with-cufuzz",
"query_text": "Summarize Hunting CUDA Bugs at Scale with cuFuzz"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Hunting CUDA Bugs at Scale with cuFuzz",
"normalized_query": "2603.12485",
"route": "/signal-canvas/hunting-cuda-bugs-at-scale-with-cufuzz",
"paper_ref": "hunting-cuda-bugs-at-scale-with-cufuzz",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Preparing verified analysis
Dimensions overall score 9.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
- Evidencepartial
We present cuFuzz, the first CUDA-oriented fuzzer that makes GPU fuzzing practical by addressing these obstacles.
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- Evidencepartial
cuFuzz uses whole program fuzzing to avoid false positives from independently fuzzing device-side kernels.
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- Evidencepartial
It leverages NVBit to instrument device-side instructions and merges the resultant coverage with compiler-based host coverage.
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- Evidencepartial
cuFuzz decouples sanitization from coverage collection by executing host- and device-side sanitizers in separate processes.
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- Evidencepartial
cuFuzz uncovers 43 previously unknown bugs (19 in commercial libraries) across 14 CUDA programs, including illegal memory accesses, uninitialized reads, and data races.
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- Evidencepartial
cuFuzz uncovers 43 previously unknown bugs (19 in commercial libraries) across 14 CUDA programs, including illegal memory accesses, uninitialized reads, and data races.
ImplicationmissingImplication not extracted yet.
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- Evidencepartial
cuFuzz achieves significantly more discovered edges and unique inputs compared to baseline approaches, especially on closed-source targets.
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- Evidencepartial
Moreover, we quantify the execution time overheads of the different cuFuzz components and add persistent-mode support to improve the overall fuzzing throughput.
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