Towards Privacy-Preserving LLM Inference via Collaborative Obfuscation (Technical Report) Authors: Yu Lin, Qizhi Zhang, Wenqiang Ruan, Daode Zhang, Jue Hong, Ye Wu, Hanning Xia, Yunlong Mao, Sheng Zhong | Published: 2026-03-02 Disabling Safety Mechanisms of LLMLLM Performance EvaluationDifferential Privacy 2026.03.02 2026.03.04 Literature Database
Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision Authors: Manisha Mukherjee, Vincent J. Hellendoorn | Published: 2026-03-02 Indirect Prompt Injectionセキュリティに関連する知識を活用した手法Prompt leaking 2026.03.02 2026.03.04 Literature Database
LLM Novice Uplift on Dual-Use, In Silico Biology Tasks Authors: Chen Bo Calvin Zhang, Christina Q. Knight, Nicholas Kruus, Jason Hausenloy, Pedro Medeiros, Nathaniel Li, Aiden Kim, Yury Orlovskiy, Coleman Breen, Bryce Cai, Jasper Götting, Andrew Bo Liu, Samira Nedungadi, Paula Rodriguez, Yannis Yiming He, Mohamed Shaaban, Zifan Wang, Seth Donoughe, Julian Michael | Published: 2026-02-26 LLM Performance EvaluationModel evaluation methodsEducational Data Mining 2026.02.26 2026.02.28 Literature Database
A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring Authors: Usman Anwar, Julianna Piskorz, David D. Baek, David Africa, Jim Weatherall, Max Tegmark, Christian Schroeder de Witt, Mihaela van der Schaar, David Krueger | Published: 2026-02-26 WatermarkingData Management SystemModel evaluation methods 2026.02.26 2026.02.28 Literature Database
Assessing Deanonymization Risks with Stylometry-Assisted LLM Agent Authors: Boyang Zhang, Yang Zhang | Published: 2026-02-26 Disabling Safety Mechanisms of LLMData Privacy AssessmentPrompt leaking 2026.02.26 2026.02.28 Literature Database
Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search Authors: Xun Huang, Simeng Qin, Xiaoshuang Jia, Ranjie Duan, Huanqian Yan, Zhitao Zeng, Fei Yang, Yang Liu, Xiaojun Jia | Published: 2026-02-26 Prompt InjectionLarge Language Model脱獄手法 2026.02.26 2026.02.28 Literature Database
AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context Purification Authors: Tian Zhang, Yiwei Xu, Juan Wang, Keyan Guo, Xiaoyang Xu, Bowen Xiao, Quanlong Guan, Jinlin Fan, Jiawei Liu, Zhiquan Liu, Hongxin Hu | Published: 2026-02-26 Indirect Prompt InjectionCounterfactual ExplanationData Management System 2026.02.26 2026.02.28 Literature Database
IMMACULATE: A Practical LLM Auditing Framework via Verifiable Computation Authors: Yanpei Guo, Wenjie Qu, Linyu Wu, Shengfang Zhai, Lionel Z. Wang, Ming Xu, Yue Liu, Binhang Yuan, Dawn Song, Jiaheng Zhang | Published: 2026-02-26 LLM Performance EvaluationModel evaluation methods監査手法 2026.02.26 2026.02.28 Literature Database
Layer-Targeted Multilingual Knowledge Erasure in Large Language Models Authors: Taoran Li, Varun Chandrasekaran, Zhiyuan Yu | Published: 2026-02-26 AlignmentMachine learningMachine Learning Method 2026.02.26 2026.02.28 Literature Database
APFuzz: Towards Automatic Greybox Protocol Fuzzing Authors: Yu Wang, Yang Xiang, Chandra Thapa, Hajime Suzuki | Published: 2026-02-25 プロトコルファジングPrompt InjectionResearch Methodology 2026.02.25 2026.02.27 Literature Database