This paper defines a new Parasitic Toolchain Attack pattern (MCP-UPD) that assembles legitimate tools into privacy-exfiltrating workflows and reports the first large-scale scan of 12230 MCP tools across 1360 servers revealing systemic vulnerabilities from missing isolation and least-privilege in the
LLM lies: Hallucinations are not bugs, but features as adversarial examples
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CREST-Search is a red-teaming framework that crafts seemingly benign search queries to induce unsafe citations from web-augmented LLMs, backed by a new WebSearch-Harm dataset for fine-tuning a specialized attacker model.
A black-box LLM approach for fault localization in system-level test code that estimates execution traces from failure logs to rank potential faults with reduced inference cost.
The method aggregates multiple hallucination evaluation scores via conformal p-values to enable calibrated detection with controlled false alarm rates across LLMs and datasets.
MolReFlect introduces a teacher-student framework that automatically creates fine-grained molecule-text alignments to achieve SOTA results on molecule-caption translation.
LLM-EDT improves cross-domain sequential recommendation by using LLMs for transferable item augmentation, dual-phase training to handle domain transitions, and domain-aware profiling to build user profiles.