Imagen de Portada

One (Thread) Can Keep a (PRNG) Secret, but not Two

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Porat, Ehood, Klein, Amit, Pinkas, Benny
Formato:	Preprint
Publicado:	2026
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Can You Keep a Secret? Involuntary Information Leakage in Language Model Writing
por: Holtzman, Ari, et al.
Publicado: (2026)

Blind PRNG Hijacking: An Undetectable Integrity-Preserving Attack Against LLM Watermarking
por: You, Ziyang, et al.
Publicado: (2026)

ThreadFuzzer: Fuzzing Framework for Thread Protocol
por: Siroš, Ilja, et al.
Publicado: (2025)

Cryptographically Secure Pseudo-Random Number Generation (CS-PRNG) Design using Robust Chaotic Tent Map (RCTM)
por: Irfan, Muhammad, et al.
Publicado: (2024)

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
por: Mireshghallah, Niloofar, et al.
Publicado: (2023)

DiffusionHijack: Supply-Chain PRNG Backdoor Attack on Diffusion Models and Quantum Random Number Defense
por: You, Ziyang, et al.
Publicado: (2026)

Mind The Gap: Can Air-Gaps Keep Your Private Data Secure?
por: Guri, Mordechai
Publicado: (2024)

How Well Can Differential Privacy Be Audited in One Run?
por: Keinan, Amit, et al.
Publicado: (2025)

Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks
por: Dahiya, Pranav, et al.
Publicado: (2023)

When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
por: Wang, Shang, et al.
Publicado: (2024)

Two-Dimensional XOR-Based Secret Sharing for Layered Multipath Communication
por: Chan, Wai Ming, et al.
Publicado: (2025)

Privacy-Preserving Epidemiological Modeling on Mobile Graphs
por: Günther, Daniel, et al.
Publicado: (2022)

Evaluating Large Language Models in detecting Secrets in Android Apps
por: Alecci, Marco, et al.
Publicado: (2025)

Tight Analysis of a One-Shot Quantum Secret Sharing Scheme
por: Majhi, Santanu, et al.
Publicado: (2025)

The Cost of Performance: Breaking ThreadX with Kernel Object Masquerading Attacks
por: Shao, Xinhui, et al.
Publicado: (2025)

Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials
por: Huang, Yizhan, et al.
Publicado: (2023)

ZK Secret Santa
por: Chystiakov, Artem, et al.
Publicado: (2025)

I Can Tell Your Secrets: Inferring Privacy Attributes from Mini-app Interaction History in Super-apps
por: Cai, Yifeng, et al.
Publicado: (2025)

Keeping a Secret Requires a Good Memory: Space Lower-Bounds for Private Algorithms
por: Epasto, Alessandro, et al.
Publicado: (2026)

Secret Sharing with Certified Deletion
por: Bartusek, James, et al.
Publicado: (2024)

Verifiable Weighted Secret Sharing
por: Shehata, Kareem, et al.
Publicado: (2025)

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
por: Ren, Jie, et al.
Publicado: (2025)

LDP$^3$: An Extensible and Multi-Threaded Toolkit for Local Differential Privacy Protocols and Post-Processing Methods
por: Balioglu, Berkay Kemal, et al.
Publicado: (2025)

RedacBench: Can AI Erase Your Secrets?
por: Jeon, Hyunjun, et al.
Publicado: (2026)

TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
por: Meier, Dominik, et al.
Publicado: (2025)

Securing the Invisible Thread: A Comprehensive Analysis of BLE Tracker Security in Apple AirTags and Samsung SmartTags
por: Alamleh, Hosam, et al.
Publicado: (2024)

Keep your memory dump shut: Unveiling data leaks in password managers
por: Chatzoglou, Efstratios, et al.
Publicado: (2024)

DDH-based schemes for multi-party Function Secret Sharing
por: Damie, Marc, et al.
Publicado: (2026)

FoSAM: Forward Secret Messaging in Ad-Hoc Networks
por: Schadt, Daniel, et al.
Publicado: (2026)

Hush! Protecting Secrets During Model Training: An Indistinguishability Approach
por: Ganesh, Arun, et al.
Publicado: (2025)

Collaborative CP-NIZKs: Modular, Composable Proofs for Distributed Secrets
por: Alghazwi, Mohammed, et al.
Publicado: (2024)

PINE: Efficient Norm-Bound Verification for Secret-Shared Vectors
por: Rothblum, Guy N., et al.
Publicado: (2023)

Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning
por: Lycklama, Hidde, et al.
Publicado: (2024)

Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory
por: Liu, Jianqing, et al.
Publicado: (2024)

Keep the Lights On, Keep the Lengths in Check: Plug-In Adversarial Detection for Time-Series LLMs in Energy Forecasting
por: Ma, Hua, et al.
Publicado: (2025)

ScionFL: Efficient and Robust Secure Quantized Aggregation
por: Ben-Itzhak, Yaniv, et al.
Publicado: (2022)

Efficient Fuzzy Private Set Intersection from Secret-shared OPRF
por: Yang, Xinpeng, et al.
Publicado: (2026)

Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing
por: Wang, Shuaiqi, et al.
Publicado: (2024)

The Cost of Secure Restaking vs. Proof-of-Stake
por: Mamageishvili, Akaki, et al.
Publicado: (2025)

The Secret Life of CVEs
por: Przymus, Piotr, et al.
Publicado: (2025)