Secure Computation refers to cryptographic techniques that allow multiple parties to jointly compute a function over their inputs while keeping those inputs private. This ensures that no party learns anything about the other parties’ inputs beyond what can be inferred from the output of the computation itself. It is foundational for privacy-preserving applications in decentralized systems.
Context
Secure computation techniques, such as multi-party computation (MPC) and homomorphic encryption, are gaining traction for their ability to enable private data analysis and secure transactions on blockchains. News frequently highlights new applications of these technologies in areas like decentralized identity, private voting, and confidential DeFi transactions. Ongoing research aims to improve the performance and scalability of these cryptographic primitives for broader adoption.
New protocols drastically reduce communication overhead in secure multi-party computation with selective aborts, enhancing practicality for decentralized applications.
This research proves witness encryption is essential for highly secure, randomness-reusable zero-knowledge arguments, advancing practical privacy solutions.
We use cookies to personalize content and marketing, and to analyze our traffic. This helps us maintain the quality of our free resources. manage your preferences below.
Detailed Cookie Preferences
This helps support our free resources through personalized marketing efforts and promotions.
Analytics cookies help us understand how visitors interact with our website, improving user experience and website performance.
Personalization cookies enable us to customize the content and features of our site based on your interactions, offering a more tailored experience.
