User-Side Realization
Fuente:
arXiv
Saved in:
| Main Author: | Sato, Ryoma |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations
by: Salemi, Alireza, et al.
Published: (2026)
by: Salemi, Alireza, et al.
Published: (2026)
TableGuard -- Securing Structured & Unstructured Data
by: Sharma, Anantha, et al.
Published: (2024)
by: Sharma, Anantha, et al.
Published: (2024)
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
by: Lin, Sam, et al.
Published: (2024)
by: Lin, Sam, et al.
Published: (2024)
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning
by: Guo, Junfeng, et al.
Published: (2025)
by: Guo, Junfeng, et al.
Published: (2025)
Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?
by: Shah, Syed Huma
Published: (2026)
by: Shah, Syed Huma
Published: (2026)
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
by: Naseh, Ali, et al.
Published: (2025)
by: Naseh, Ali, et al.
Published: (2025)
Membership Inference Attacks on LLM-based Recommender Systems
by: He, Jiajie, et al.
Published: (2025)
by: He, Jiajie, et al.
Published: (2025)
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
by: Liu, Kangwei, et al.
Published: (2025)
by: Liu, Kangwei, et al.
Published: (2025)
Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents
by: Wang, Chunxiao
Published: (2026)
by: Wang, Chunxiao
Published: (2026)
PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
by: Roy, Sayak Saha, et al.
Published: (2024)
by: Roy, Sayak Saha, et al.
Published: (2024)
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
by: Sato, Ryoma
Published: (2025)
by: Sato, Ryoma
Published: (2025)
Token-wise Influential Training Data Retrieval for Large Language Models
by: Lin, Huawei, et al.
Published: (2024)
by: Lin, Huawei, et al.
Published: (2024)
DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation
by: Gong, Yuyang, et al.
Published: (2026)
by: Gong, Yuyang, et al.
Published: (2026)
PII-Bench: Evaluating Query-Aware Privacy Protection Systems
by: Shen, Hao, et al.
Published: (2025)
by: Shen, Hao, et al.
Published: (2025)
One Single Hub Text Breaks CLIP: Identifying Vulnerabilities in Cross-Modal Encoders via Hubness
by: Deguchi, Hiroyuki, et al.
Published: (2026)
by: Deguchi, Hiroyuki, et al.
Published: (2026)
SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions
by: Mishra, Saroj, et al.
Published: (2026)
by: Mishra, Saroj, et al.
Published: (2026)
TITAN: Graph-Executable Reasoning for Cyber Threat Intelligence
by: Simoni, Marco, et al.
Published: (2025)
by: Simoni, Marco, et al.
Published: (2025)
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition
by: Gasmi, Houssem, et al.
Published: (2024)
by: Gasmi, Houssem, et al.
Published: (2024)
Advancing Recommender Systems by mitigating Shilling attacks
by: Chichani, Aditya, et al.
Published: (2024)
by: Chichani, Aditya, et al.
Published: (2024)
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets
by: Collyer, Joshua, et al.
Published: (2024)
by: Collyer, Joshua, et al.
Published: (2024)
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
by: Lilienthal, Derek, et al.
Published: (2023)
by: Lilienthal, Derek, et al.
Published: (2023)
Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems
by: Yao, Mengyu, et al.
Published: (2026)
by: Yao, Mengyu, et al.
Published: (2026)
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training
by: Zhao, Shuai, et al.
Published: (2024)
by: Zhao, Shuai, et al.
Published: (2024)
A Robust Cybersecurity Topic Classification Tool
by: Pelofske, Elijah, et al.
Published: (2021)
by: Pelofske, Elijah, et al.
Published: (2021)
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs
by: Chen, Bocheng, et al.
Published: (2024)
by: Chen, Bocheng, et al.
Published: (2024)
Poisoning Federated Recommender Systems with Fake Users
by: Yin, Ming, et al.
Published: (2024)
by: Yin, Ming, et al.
Published: (2024)
AutoVerifier: An Agentic Automated Verification Framework Using Large Language Models
by: Du, Yuntao, et al.
Published: (2026)
by: Du, Yuntao, et al.
Published: (2026)
SQuaD: The Software Quality Dataset
by: Robredo, Mikel, et al.
Published: (2025)
by: Robredo, Mikel, et al.
Published: (2025)
Towards Contextual Sensitive Data Detection
by: Telkamp, Liang, et al.
Published: (2025)
by: Telkamp, Liang, et al.
Published: (2025)
Stealing User Prompts from Mixture of Experts
by: Yona, Itay, et al.
Published: (2024)
by: Yona, Itay, et al.
Published: (2024)
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
by: Huang, Yu-Shin, et al.
Published: (2024)
by: Huang, Yu-Shin, et al.
Published: (2024)
Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
by: Xu, Shizhou, et al.
Published: (2025)
by: Xu, Shizhou, et al.
Published: (2025)
Cryptanalysis and improvement of multimodal data encryption by machine-learning-based system
by: Tolba, Zakaria
Published: (2024)
by: Tolba, Zakaria
Published: (2024)
Artificial Intelligence enhanced Security Problems in Real-Time Scenario using Blowfish Algorithm
by: Chinnam, Yuvaraju, et al.
Published: (2024)
by: Chinnam, Yuvaraju, et al.
Published: (2024)
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)
by: Liu, Mingrui, et al.
Published: (2024)
CellularLint: A Systematic Approach to Identify Inconsistent Behavior in Cellular Network Specifications
by: Rahman, Mirza Masfiqur, et al.
Published: (2024)
by: Rahman, Mirza Masfiqur, et al.
Published: (2024)
MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation
by: Simoni, Marco, et al.
Published: (2024)
by: Simoni, Marco, et al.
Published: (2024)
HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
by: Zhang, Yucheng, et al.
Published: (2024)
by: Zhang, Yucheng, et al.
Published: (2024)
Similar Items
-
Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations
by: Salemi, Alireza, et al.
Published: (2026) -
TableGuard -- Securing Structured & Unstructured Data
by: Sharma, Anantha, et al.
Published: (2024) -
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
by: Lin, Sam, et al.
Published: (2024) -
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024) -
Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning
by: Guo, Junfeng, et al.
Published: (2025)