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Valid input generation for Python APIs can drop from over 95% to as low as 31.6% when inter-parameter relationships are ignored, highlighting the critical role of dependency resolution in fuzzing.
Xamt uncovers critical API discrepancies across deep learning libraries, revealing that traditional testing methods may miss up to 72 significant issues.
LLMs can now autonomously exploit over 80% of vulnerabilities in standard penetration testing environments, thanks to a novel architecture that mitigates hallucinations and improves long-term memory.
