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Risk: All CRITICAL HIGH MEDIUM LOW
D
depth-anything/Depth-Anything-V2-Small-hf HF PQC Verified

Depth-EstimationTransformersSafetensorsDepth_anythingDepthRelative depth MEDIUM
L
lucas-leme/FinBERT-PT-BR HF PQC Verified

Text ClassificationTransformersPyTorchBERTPt MEDIUM
I
Intel/dpt-hybrid-midas HF PQC Verified

Depth-EstimationTransformersPyTorchDptVisionModel-Index MEDIUM
D
depth-anything/Depth-Anything-V2-Base-hf HF Unverified

Depth-EstimationTransformersSafetensorsDepth_anythingDepthRelative depth MEDIUM
S
SAP/sap-rpt-1-oss HF Unverified

Tabular-ClassificationSap-Rpt-1-OssTabularFoundation-ModelDeep-LearningIn-Context MEDIUM
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LiheYoung/depth_anything_vitb14 HF Unverified

Depth-EstimationTransformersPyTorchDepth_anything MEDIUM
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KaptainKris/ppo-LunarLander-v3-flip HF Unverified

Reinforcement-LearningStable-Baselines3Deep-Reinforcement-LearningPpoLunarLander-V3Custom-Reward MEDIUM
quantmrkt/PQC Memory Encryption for LLM KV Cache Available

PQC-native per-tenant KV cache encryption for multi-tenant LLM inference. ML-KEM-768 derived session keys, AES-256-GCM per-entry encryption, strict tenant isolation enforcement, automatic key rotation by entry count or time. Protects against cross-tenant side-channel reads. 34 tests passing.

LLMKV CacheMulti-TenantML-KEMAES-GCMInferencePrivacySide-ChannelSession Isolation MEDIUM
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