Evidence · DiggingBeagle record
EchoFuzz - ICSE 2026 Research Track
Official ICSE 2026 Research Track entry for EchoFuzz. Confirms the Research Track placement, authors and the April 16, 2026 conference presentation; its abstract repeats the reported coverage, vulnerability-detection and 37-finding results.
- Source role
- conference record
Evidence record
Official ICSE 2026 Research Track entry for EchoFuzz. Confirms the Research Track placement, authors and the April 16, 2026 conference presentation; its abstract repeats the reported coverage, vulnerability-detection and 37-finding results.
Claim-level citations (2)
- contextEchoFuzz used LLM-guided fuzzing to reach deeper smart-contract states: The paper reports 62.77% more detected vulnerabilities than MuFuzz on average across D1-D3. In the detailed D1 branch-coverage comparison, EchoFuzz reaches 79.1% on medium contracts (+29.19% over MuFuzz) and 76.70% on large contracts (+32.24% over MuFuzz); the paper also summarizes branch-coverage improvement as 29.19% in its contributions text.
Research Track abstract, experimental-results paragraph
- supportsEchoFuzz used LLM-guided fuzzing to reach deeper smart-contract states: EchoFuzz appears in the ICSE 2026 Research Track program, with a presentation scheduled for April 16, 2026; the arXiv version identifies DOI 10.1145/3744916.3773166 for the conference publication.
ICSE 2026 Research Track entry: title, author list and Thu 16 Apr 2026 12:00-12:15 session