Copertina

S-Leak: Leakage-Abuse Attack Against Efficient Conjunctive SSE via s-term Leakage

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Su, Yue, Shen, Meng, Zuo, Cong, Liu, Yuzhi, Zhu, Liehuang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Leakage-abuse Attack Against Substring-SSE with Partially Known Dataset
di: Ba, Xijie, et al.
Pubblicazione: (2025)

LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
di: Panebianco, Francesco, et al.
Pubblicazione: (2025)

DeepLeak: Privacy Enhancing Hardening of Model Explanations Against Membership Leakage
di: Hmida, Firas Ben, et al.
Pubblicazione: (2026)

ContextLeak: Auditing Leakage in Private In-Context Learning Methods
di: Choi, Jacob, et al.
Pubblicazione: (2025)

Exploiting Leakage in Password Managers via Injection Attacks
di: Fábrega, Andrés, et al.
Pubblicazione: (2024)

LeakDojo: Decoding the Leakage Threats of RAG Systems
di: Zhang, Maosen, et al.
Pubblicazione: (2026)

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage
di: Li, Na, et al.
Pubblicazione: (2025)

CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
di: Wang, Weiqi, et al.
Pubblicazione: (2025)

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning
di: Xiang, Kunlan, et al.
Pubblicazione: (2025)

EdgeLeakage: Membership Information Leakage in Distributed Edge Intelligence Systems
di: Chen, Kongyang, et al.
Pubblicazione: (2024)

Improved Leakage Abuse Attacks in Searchable Symmetric Encryption with eBPF Monitoring
di: Dimobi, Chinecherem
Pubblicazione: (2026)

A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
di: Yang, Huan, et al.
Pubblicazione: (2024)

Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack
di: Lumbut, Chayadon, et al.
Pubblicazione: (2024)

Breach By A Thousand Leaks: Unsafe Information Leakage in `Safe' AI Responses
di: Glukhov, David, et al.
Pubblicazione: (2024)

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage
di: Nie, Yuzhou, et al.
Pubblicazione: (2024)

EVeCA: Efficient and Verifiable On-Chain Data Query Framework Using Challenge-Based Authentication
di: Shen, Meng, et al.
Pubblicazione: (2024)

Label Leakage Attacks in Machine Unlearning: A Parameter and Inversion-Based Approach
di: Zheng, Weidong, et al.
Pubblicazione: (2026)

CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage
di: Mashnoor, Nowfel, et al.
Pubblicazione: (2025)

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption
di: Najjar, Muhammad Ali, et al.
Pubblicazione: (2025)

Correlating Account on Ethereum Mixing Service via Domain-Invariant feature learning
di: Che, Zheng, et al.
Pubblicazione: (2025)

From Data Leak to Secret Misses: The Impact of Data Leakage on Secret Detection Models
di: Soltaniani, Farnaz, et al.
Pubblicazione: (2026)

Query Recovery from Easy to Hard: Jigsaw Attack against SSE
di: Nie, Hao, et al.
Pubblicazione: (2024)

Label Inference Attacks against Federated Unlearning
di: Wang, Wei, et al.
Pubblicazione: (2025)

Computing Maximal Per-Record Leakage and Leakage-Distortion Functions for Privacy Mechanisms under Entropy-Constrained Adversaries
di: Wu, Genqiang, et al.
Pubblicazione: (2026)

RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
di: Zhong, Peter Yong, et al.
Pubblicazione: (2025)

Information Leakage in Data Linkage
di: Christen, Peter, et al.
Pubblicazione: (2025)

Enhancing Leakage Attacks on Searchable Symmetric Encryption Using LLM-Based Synthetic Data Generation
di: Chiu, Joshua, et al.
Pubblicazione: (2025)

Nonmalleable Progress Leakage
di: Cecchetti, Ethan
Pubblicazione: (2025)

Information Leakage Envelopes
di: Saeidian, Sara, et al.
Pubblicazione: (2026)

Observable Channels, Not Just Storage: Evaluating Privacy Leakage in LLM Agent Pipelines
di: Huang, Tao, et al.
Pubblicazione: (2026)

Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models
di: Meng, Jiayang, et al.
Pubblicazione: (2025)

MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models
di: Shi, Shanghao, et al.
Pubblicazione: (2024)

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
di: Fan, Mingyuan, et al.
Pubblicazione: (2022)

Membership Information Leakage in Federated Contrastive Learning
di: Chen, Kongyang, et al.
Pubblicazione: (2024)

Zebrafix: Mitigating Memory-Centric Side-Channel Leakage via Interleaving
di: Pätschke, Anna, et al.
Pubblicazione: (2025)

SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores
di: Zheng, Leqian, et al.
Pubblicazione: (2023)

Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices
di: Chen, Kongyang, et al.
Pubblicazione: (2024)

The Inevitability of Side-Channel Leakage in Encrypted Traffic
di: Liu, Guangjie, et al.
Pubblicazione: (2026)

Automating Prompt Leakage Attacks on Large Language Models Using Agentic Approach
di: Sternak, Tvrtko, et al.
Pubblicazione: (2025)

Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks
di: Zhao, Jin, et al.
Pubblicazione: (2026)