#information-loss News & Analysis

2 articles tagged with #information-loss. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · Jun 237/10

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When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents

Researchers demonstrate that prompt compression—a technique used to reduce LLM latency and costs—creates a new security vulnerability when processing mixed trusted and untrusted inputs. By strategically perturbing untrusted data before compression, attackers can force compressors to discard critical task information or safety guardrails, achieving 71% attack success rates through a black-box method called COMA.

AIBullisharXiv – CS AI · Mar 35/105

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Cross-modal Identity Mapping: Minimizing Information Loss in Modality Conversion via Reinforcement Learning

Researchers developed Cross-modal Identity Mapping (CIM), a reinforcement learning framework that improves image captioning in Large Vision-Language Models by minimizing information loss during visual-to-text conversion. The method achieved 20% improvement in relation reasoning on the COCO-LN500 benchmark using Qwen2.5-VL-7B without requiring additional annotations.