Unverified50% confidenceBenchmarkExact time
The Wolf Defender main model's real-world benign specificity improved from 66.85% in v1 to 96.63% in v2.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/31/2026
First Seen
Valid until: 11/29/2026
Sources
Related Entities
Related Claims
UnverifiedWolf Defender v2's attack detection capability is largely maintained at its original level, with a Qualifire F1 of 95.14% and a Jayavibhav F1 of 97.84%.76% similarUnverifiedWolf Defender v2 employs mixed training combining short samples (256 tokens) with a full long window (2048 tokens).62% similarUnverifiedEfficientNet 从 B0 到 B7，模型参数从 5.3M 增长到 66M，Top-1 精度从 77.1% 提升到 84.3%55% similarUnverifiedbuffalo_l在MS1MV3数据集（约300万张图像）上训练，LFW准确率接近99.8%54% similarUnverifiedNVFP4量化方案相比BF16基线实现了1.5倍的推理加速，同时在top-1准确率上保留了92%到97%的水平53% similar
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