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20242026
most citedA Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective

5 citations · 8 across the 21 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

Memory Echo in Single-Agent Long-Term Memory: Lifecycle Evaluation and Provenance-Guided Mitigation

Yufeng Li, Sheng Yao, Peng Zeng +5

Long-term memory supports agents across sessions. Repeated retrieval and write-back can let one historical claim occupy multiple retrieval positions and influence current answers w…

cs.AI2026

Learning-Driven Adaptive Audit Scheduling: A Sequential Decision Approach to Off-Chain Data Integrity

Changting Lin, Fan Li, Weihang Yu +4

We model cryptographic auditing of off-chain data as a Constrained MDP (CMDP) under partial observability: the storage node's hidden type and corruption state make the problem a PO…

cs.AI2026

FIDES: Faithful Inference via Deep Evidence Signals for Retrieval-Memory Conflict in RAG

Zhe Yu, Wenpeng Xing, Tiancheng Zhao +3

When retrieved evidence contradicts parametric memory, language models frequently ignore context and default to memorized priors -- a failure that undermines the core purpose of re…

cs.AI2026

Detecting Is Not Resolving: The Monitoring Control Gap in Retrieval Augmented LLMs

Zhe Yu, Wenpeng Xing, Chen Ye +4

Retrieval-augmented LLMs are deployed for tasks where evidence quality determines action safety, yet evaluation protocols assume that single-turn robustness predicts robustness whe…

cs.AI2026

Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation Ablation

Wenpeng Xing, Moran Fang, Guangtai Wang +2

While Large Language Models (LLMs) have achieved remarkable performance, they remain vulnerable to jailbreak attacks that circumvent safety constraints. Existing strategies, rangin…

cs.LG2026

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE

Zixuan Chen, Heng Zhang, YuPeng Qin +5

Multimodal variational autoencoders (VAEs) have emerged as a powerful framework for survival risk modeling in multiple myeloma by integrating heterogeneous omics and clinical data.…

cs.CR2026

DNF: Dual-Layer Nested Fingerprinting for Large Language Model Intellectual Property Protection

Zhenhua Xu, Yiran Zhao, Mengting Zhong +4

The rapid growth of large language models raises pressing concerns about intellectual property protection under black-box deployment. Existing backdoor-based fingerprints either re…