Auditor-Only Linkability Resolves Privacy-Accountability Deadlock
A novel cryptographic primitive, Auditor-Only Linkability, uses zero-knowledge proofs and specialized encryption to enable verifiable tracing of anonymous transactions under due process, resolving the foundational conflict between on-chain privacy and regulatory accountability.
Delegatable Updatable Private Set Intersection Enhances Dynamic Privacy
A novel framework enables third-party computation and efficient set updates for private set intersection, expanding its utility in dynamic, privacy-preserving distributed systems.
Modular Random Variable Commitments Enable Universal Certified Privacy
This work establishes modularity for random variable commitments, enabling provably private data analysis across arbitrary distributions.
Fully Homomorphic Encryption: Unlocking Ubiquitous Confidentiality for Blockchain Transactions
This research leverages Fully Homomorphic Encryption to enable on-chain computation over encrypted data, fundamentally transforming blockchain transparency into pervasive confidentiality.
Zero-Knowledge Mechanisms Enable Private, Verifiable Mechanism Design without Mediators
This research introduces a cryptographic framework allowing economic mechanisms to operate with verifiable integrity while preserving designer privacy, eliminating trusted intermediaries.
Plume Integrates EY-Assisted Nightfall for Institutional Real-World Asset Privacy
This strategic deployment enhances secure, compliant privacy infrastructure for real-world asset tokenization, enabling scalable private transactions on Ethereum-compatible blockchains.
Indistinguishability Obfuscation Enhanced with Lattice-Based Security
Researchers have refined indistinguishability obfuscation, enabling it to rely solely on the standard Learning With Errors assumption, promising more robust and practical privacy-preserving cryptographic primitives.
