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Safety Evaluation (Detailed Attack Metrics) on HarmBench

93.25PAIRReSA-SFT (Ours)
5.1127.992550.87573.7575Sep 15, 2025Oct 28, 2025Dec 11, 2025Jan 24, 2026Mar 8, 2026Apr 21, 2026Jun 4, 2026

Evaluation results

MethodLinks
ReSA-SFT (Ours)Base Model=Llama3.1-8B-Instruct, Evaluator=Harm-Bench Classifier2025.0993.2599.759799.2598.598.2593.598.7597.28————————————————
VanillaGuardrail Category=Unguarded, Target LLM=Qwen3-8B2026.0691.9——87.2—76.993.8————1.6151.622.71.311.80.937.581.31.331.588.41.320.7
SmoothLLMGuardrail Category=Prompt-level guardrails, Target LLM=Qwen3-8B2026.0690.9——89.4—99.790————2.516.62.819.22.518.13.10.694.42.510.693.12.812.8
ReSA-SFT (Ours)Base Model=Qwen2.5-7B-Instruct, Evaluator=Harm-Bench Classifier2025.0989.7599.597.2598.599.2597.593.2599.2596.78————————————————
ReSA-SFT (Ours)Base Model=Llama3.1-8B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0982.9999.5692.6497.6198.6594.4993.4691.3793.85————————————————
ReSA-SFT (Ours)Base Model=Qwen2.5-7B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0982.1399.4994.2796.5598.9992.2692.1788.893.08————————————————
Post-hoc (LlamaGuard)Base Model=Qwen2.5-7B-Instruct, Evaluator=Harm-Bench Classifier2025.0979.759672.576.7598.598.2576.2594.586.56————————————————
STAIR-DPOBase Model=Llama3.1-8B-Instruct, Evaluator=Harm-Bench Classifier2025.0978.7596.2583.75959787.2577.259989.28————————————————
Post-hoc (LlamaGuard)Base Model=Qwen2.5-7B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0977.5892.9162.9164.0698.4195.6280.2983.3381.89————————————————
Post-hoc (LlamaGuard)Base Model=Llama3.1-8B-Instruct, Evaluator=Harm-Bench Classifier2025.0975.59775.2581.596.7596.57696.2586.84————————————————
WJ-SFTBase Model=Llama3.1-8B-Instruct, Evaluator=Harm-Bench Classifier2025.0974.7599.258189.7597.593.7573.7510088.72————————————————
WJ-SFTBase Model=Qwen2.5-7B-Instruct, Evaluator=Harm-Bench Classifier2025.0972.59973.7589.510085.2558.59884.56————————————————
Post-hoc (LlamaGuard)Base Model=Llama3.1-8B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0971.0997.4265.5673.3998.0395.2279.3882.5782.83————————————————
STAIR-DPO*Base Model=Qwen2.5-7B-Instruct, Evaluator=Harm-Bench Classifier2025.0970.587.7580.7592.2597.7568.56598.582.63————————————————
STAIR-DPOBase Model=Llama3.1-8B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0969.9796.7677.6192.7198.284.7377.893.0586.35————————————————
WJ-SFTBase Model=Llama3.1-8B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0968.9998.5973.5384.596.9591.176.3491.6885.21————————————————
WJ-SFTBase Model=Qwen2.5-7B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0967.8398.7767.5782.9499.0680.9366.8590.4381.8————————————————
Post-hoc (LlamaGuard)Base Model=Qwen2.5-7B-Instruct, Evaluator=Llama Guard2025.096599.7539.75529886.577.2584.575.34————————————————
STAIR-DPO*Base Model=Qwen2.5-7B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0964.6291.575.5389.7297.0671.972.3891.4681.77————————————————
ReSA-SFT (Ours)Base Model=Llama3.1-8B-Instruct, Evaluator=Llama Guard2025.0964.510084.596.759779.258888.7587.34————————————————
ReSA-SFT (Ours)Base Model=Qwen2.5-7B-Instruct, Evaluator=Llama Guard2025.096399.58894.2596.2570.588.2578.7584.81————————————————
SelfDefendGuardrail Category=Prompt-level guardrails, Target LLM=Qwen3-8B2026.0660.3——87.2—37.548.8————0.656.70.922.70.967.60.676.743.10.972.359.41.357.6
BaseBase Model=Llama3.1-8B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0955.0486.1353.5467.8766.0971.962.925164.31————————————————
BaseBase Model=Llama3.1-8B-Instruct, Evaluator=Harm-Bench Classifier2025.0951.757761.573.754370.547.579.563.06————————————————
Post-hoc (LlamaGuard)Base Model=Llama3.1-8B-Instruct, Evaluator=Llama Guard2025.0951.251004760.59888.572.2585.575.38————————————————
BaseBase Model=Qwen2.5-7B-Instruct, Evaluator=Fine-tuned StrongREJECT Evaluator [38]2025.0945.6980.0449.5749.8470.1955.1344.3947.955.34————————————————
LlamaGuard3Guardrail Category=Fine-tuned guardrails, Target LLM=Qwen3-8B2026.0641.6——46.9—28.845.3————3.472.83.468.53.469.83.482453.470.167.23.449
BaseBase Model=Qwen2.5-7B-Instruct, Evaluator=Harm-Bench Classifier2025.0939.757156.2558.7558.7552.7521.565.553.03————————————————
Self-ReminderGuardrail Category=Prompt-level guardrails, Target LLM=Qwen3-8B2026.0639.4——35.9—82.242.5————17.569.915.972.72066.917.829.385.917.82452.519.459.8
RADGuardrail Category=Memory-augmented guardrails, Target LLM=Qwen3-8B2026.0636.9——45.9—11.330————3.876.23.469.33.181.33.192.631.32.880.560.64.455.8
STAIR-DPOBase Model=Llama3.1-8B-Instruct, Evaluator=Llama Guard2025.093190.7552.2577.2596.256257.57567.75————————————————
WildGuardGuardrail Category=Fine-tuned guardrails, Target LLM=Qwen3-8B2026.0628.4——32.8—50.325————12.278.912.276.112.280.912.263.535.312.274.531.611.977
WJ-SFTBase Model=Llama3.1-8B-Instruct, Evaluator=Llama Guard2025.0928.2510042.571.59453597865.78————————————————
WJ-SFTBase Model=Qwen2.5-7B-Instruct, Evaluator=Llama Guard2025.092510034.756999.53745.2573.7560.53————————————————
STAIR-DPO*Base Model=Qwen2.5-7B-Instruct, Evaluator=Llama Guard2025.092475.254373.7596.7528.547.256957.19————————————————
GuardReasonerGuardrail Category=Fine-tuned guardrails, Target LLM=Qwen3-8B2026.0621.3——30.9—60.629.1————6.985.36.979.36.980.56.955.37.86.992.719.17.286.5
BaseBase Model=Llama3.1-8B-Instruct, Evaluator=Llama Guard2025.09207124.2550.538.540.253938.2540.22————————————————
MEMBRANEGuardrail Category=Memory-augmented guardrails, Target LLM=Qwen3-8B2026.0616——22.3—0.38.2————4.189.56.1854.993.44.197.803.898.120.52.987.4
BaseBase Model=Qwen2.5-7B-Instruct, Evaluator=Llama Guard2025.098.56814.7526.5336.7511.2527.2524.5————————————————
cDPOBackbone=Llama-3-8B2026.03—————————6144——————————————
cDPOBackbone=Qwen-2.5-7B2026.03—————————45.519.5——————————————
DPOBackbone=Llama-3-8B2026.03—————————4128.5——————————————
DPOBackbone=Qwen-2.5-7B2026.03—————————32.514——————————————
Dr.DPOBackbone=Llama-3-8B2026.03—————————20——————————————
Dr.DPOBackbone=Qwen-2.5-7B2026.03—————————0.50——————————————
IPOBackbone=Llama-3-8B2026.03—————————33.517.5——————————————
IPOBackbone=Qwen-2.5-7B2026.03—————————30.514——————————————
Llama-3-8BBackbone=Llama-3-8B2026.03—————————87.523.5——————————————
Llama-3.2-3BBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————8526.5——————————————
Llama-3.2-3B + cDPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————65.515——————————————
Llama-3.2-3B + DPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————144——————————————
Llama-3.2-3B + Dr.DPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————20.5——————————————
Llama-3.2-3B + IPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————176——————————————
Llama-3.2-3B + rDPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————3.51——————————————
Llama-3.2-3B + SFTBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————89.573——————————————
Llama-3.2-3B + wDPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————20.5——————————————
Pythia-2.8BBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————8629.5——————————————
Pythia-2.8B + cDPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————7614.5——————————————
Pythia-2.8B + DPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————6515——————————————
Pythia-2.8B + Dr.DPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————17.54.5——————————————
Pythia-2.8B + IPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————7316.5——————————————
Pythia-2.8B + rDPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————55.517——————————————
Pythia-2.8B + SFTBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————8128——————————————
Pythia-2.8B + wDPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.03—————————21.51.5——————————————
Qwen-2.5-7BBackbone=Qwen-2.5-7B2026.03—————————44.527——————————————
rDPOBackbone=Llama-3-8B2026.03—————————61.5——————————————
rDPOBackbone=Qwen-2.5-7B2026.03—————————31——————————————
SFTBackbone=Llama-3-8B2026.03—————————93.581.5——————————————
SFTBackbone=Qwen-2.5-7B2026.03—————————9574——————————————
wDPOBackbone=Llama-3-8B2026.03—————————1.50——————————————
wDPOBackbone=Qwen-2.5-7B2026.03—————————00——————————————