Multipartite Secret Correlations and Bound Information
Lluis Masanes, Antonio Acin
Abstract
We consider the problem of secret key extraction when n honest parties and an eavesdropper share correlated information. We present a family of probability distributions and give the full characterization of its distillation properties. This formalism allows us to design a rich variety of cryptographic scenarios. In particular, we provide examples of multipartite probability distributions containing non-distillable secret correlations, also known as bound information.
Create a lesson
Related papers
Bilateral Protection for Private LoRA Inference with Intel TDX
Xiaodong Li, Mingyuan Ma, Dongbo Yan
Can Benign Skills Induce Misaligned Behavior in LLM Agents?
Xuanye Zhang, Yongsen Zheng, Kaiyu Zhou et al.
The Native Menace: Host-to-Browser Cross-Boundary Attacks via Native Messaging
Jyotirmay Chauhan, Rownak Islam, Jason Polakis
When Debate Amplifies Risk: Social-Bias Vulnerabilities in Multi-Agent Safety Deliberation
Qinghua Mao, Xi Lin, Yuxin Qi et al.
VerfGraph: Efficient Zero-Knowledge Verifiable Graph Query Evaluation System
Tianyi Ma, Yuncong Zhang, Yuanzhuo Yu et al.
ScrambleMark: Zero-Query Watermark-Agnostic Black-Box Evasion of Modern Speech Watermarking
Binhao Ma, Weikang Ding, Hanqing Guo et al.