:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Srinath, Mukund, Wilson, Shomir, Giles, C. Lee
Format:	Preprint
Published:	2020
Subjects:	Information Retrieval Cryptography and Security
Online Access:	https://arxiv.org/abs/2004.11131
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Detection and Analysis of Data Practices Using A Real-World Corpus
by: Srinath, Mukund, et al.
Published: (2024)

PseudoSeer: a Search Engine for Pseudocode
by: Toksoz, Levent, et al.
Published: (2024)

Generalized Rainbow Differential Privacy
by: Gu, Yuzhou, et al.
Published: (2023)

RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
by: Cheng, Yihang, et al.
Published: (2024)

Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution
by: Yao, Yixiang, et al.
Published: (2023)

Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy
by: De Faveri, Francesco Luigi, et al.
Published: (2024)

Personalized w-Event Privacy for Infinite Stream Estimation
by: Du, Leilei, et al.
Published: (2026)

RecPS: Privacy Risk Scoring for Recommender Systems
by: He, Jiajie, et al.
Published: (2025)

Preserving Privacy and Utility in LLM-Based Product Recommendations
by: Khezresmaeilzadeh, Tina, et al.
Published: (2025)

Exposing Privacy Risks in Graph Retrieval-Augmented Generation
by: Liu, Jiale, et al.
Published: (2025)

Auditing Privacy in Multi-Tenant RAG under Account Collusion
by: Burnat, Florian A. D.
Published: (2026)

A Privacy Preserving System for Movie Recommendations Using Federated Learning
by: Neumann, David, et al.
Published: (2023)

Privacy-preserving recommender system using the data collaboration analysis for distributed datasets
by: Yanagi, Tomoya, et al.
Published: (2024)

Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
by: Hu, Wentao, et al.
Published: (2023)

CyberCane: Neuro-Symbolic RAG for Privacy-Preserving Phishing Detection with Formal Ontology Reasoning
by: Hakim, Safayat Bin, et al.
Published: (2026)

Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy
by: Yang, Haowei, et al.
Published: (2025)

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
by: Carranza, Aldo Gael, et al.
Published: (2023)

Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
by: Lilienthal, Derek, et al.
Published: (2023)

PII-Bench: Evaluating Query-Aware Privacy Protection Systems
by: Shen, Hao, et al.
Published: (2025)

A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research
by: Roy, Falguni, et al.
Published: (2024)

Decoding TRON: A Comprehensive Framework for Large-Scale Blockchain Data Extraction and Exploration
by: Mao, Qian'ang, et al.
Published: (2025)

Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations
by: Salemi, Alireza, et al.
Published: (2026)

An Empirical Study of Privacy Leakage Chains via Prompt Injection in Black-Box Chatbot Environments
by: Yang, Hongjang, et al.
Published: (2026)

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
by: Lin, Sam, et al.
Published: (2024)

Versatile and Fast Location-Based Private Information Retrieval with Fully Homomorphic Encryption over the Torus
by: Yoo, Joon Soo, et al.
Published: (2025)

BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
by: Ranaweera, Nishavi, et al.
Published: (2025)

Phishing Email Detection Using Large Language Models
by: Hasan, Najmul, et al.
Published: (2025)

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
by: Zheng, Ruiqi, et al.
Published: (2024)

Adversarial Hubness in Multi-Modal Retrieval
by: Zhang, Tingwei, et al.
Published: (2024)

ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs
by: Fayyazi, Reza, et al.
Published: (2024)

First Steps, Lasting Impact: Platform-Aware Forensics for the Next Generation of Analysts
by: Jain, Vinayak, et al.
Published: (2026)

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings
by: Yin, Yu, et al.
Published: (2026)

Green-Red Watermarking for Recommender Systems
by: Zhou, Lei, et al.
Published: (2026)

SoK: Timeline based event reconstruction for digital forensics: Terminology, methodology, and current challenges
by: Breitinger, Frank, et al.
Published: (2025)

Poisoning Attacks and Defenses in Recommender Systems: A Survey
by: Wang, Zongwei, et al.
Published: (2024)

Cybersecurity Data Extraction from Common Crawl
by: Mahara, Ashim
Published: (2025)

DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
by: Qin, Qitao, et al.
Published: (2024)

Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
by: Bagwe, Gaurav, et al.
Published: (2025)

KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment
by: Wu, Zongzong, et al.
Published: (2024)

Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval
by: Liu, Yu, et al.
Published: (2026)