ENDOPROMPT: Victim-Side Pseudo-References for Utility Degradation

arXiv:2609.29948 · cs.AI, cs.CR · Submitted 2026-09-24 · Read on arXiv

cs.AI, cs.CR

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Benchmark — 19× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Adversarial Prompting — 2× in this paper · explained in 1 episode
• GRPO — 2× in this paper · explained in 6 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Universal and Transferable Adversarial Attacks on Aligned Language Models
• MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
• System Prompt Poisoning: Persistent Attacks on Large Language Models Beyond User Injection
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Qwen2.5 Technical Report
• The Llama 3 Herd of Models
• Mistral 7B
• Gemma 2: Improving Open Language Models at a Practical Size
• Instruction-Following Evaluation for Large Language Models

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