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cs.CL2026

LatentRiskBench: Measuring State-Dependent Risks in Enterprise Agents

Jingyue Cong, Estrid He, Zhuang Li +5

Enterprise agents face safety risks that cannot be determined from individual actions alone. Existing safety benchmarks largely evaluate action-local risks, overlooking failures wh…

cs.CL2026

Decouple to Forget: Semantic Mediation for Sensitive Unlearning in Large Language Models

Jingyue Cong, Andy Song, Yang Yu +7

Machine unlearning for large language models seeks to remove specified knowledge while preserving general capability, yet current methods often treat an entire response as the unit…

cs.CL2026

GraphProfiler: Source-Linked Sensitive Attribute Inference via Personal Knowledge Graphs

Ahmed Sohair Khan, Estrid He, Chenglong Ma +2

Sensitive attributes such as age, income, and occupation can be inferred from user-generated content by aggregating indirect cues across many ordinary posts. LLM-based profilers ca…

cs.CL2026

I Am No One: Style-Aware Paraphrasing for Text Anonymization

Ahmed Sohair Khan, Estrid He, Monica Wachowicz +1

Authorship attribution models can re-identify users from seemingly anonymized text by exploiting stable stylistic fingerprints, even after explicit identifiers are removed, posing…

cs.CL2026

Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded Reasoning

Vy Nguyen, Ziqi Xu, Jeffrey Chan +5

Knowledge-intensive reasoning requires Large Language Models (LLMs) to ground answers in provided evidence. When evidence is insufficient, it is desirable that models abstain rathe…