
Zero Knowledge for Dummies: Introduction to ZK Proofs
Do you have zero knowledge about zero knowledge? Do you want to learn more about it? You’re in the right place and we have cookies. Today we dive into the basics of zero-knowledge proofs (ZKPs), how they work and why you should care about them.What is a ZK ProofZKPs were first mentioned in a paper by Shafi Goldwasser, Silvio Micali and Charles Rackoff. Titled “The knowledge complexity of interactive proof systems”, the paper was published in 1985 — for our GenZ readers, 1985 is a point in the...

Intro to Nova & ZK Folding Schemes: Folding and Nova
This is a blog series in which we explore ZK folding schemes and NOVA. Read the previous articles: 📓 PART I: Recursive SNARKs and Incrementally Verifiable Computation 📓 Part II: Halo and Accumulation As we made it this far, we are now ready to dive deep into folding and Nova. Note that at first this part might seem a bit technical. The main hurdle is however the notation. Once we tackle that, all that remains is to enjoy the elegant folding idea. First a short recap of what we covered until...

Introduction to Nova and ZK Folding Schemes
This is the first of a sequence of blog posts on Nova, a recursive proof system based on a clever folding scheme for R1CS statements (more precisely relaxed R1CS statements, these and their generalizations will be defined in the next blog posts). We will start gently and later on in the series we will dive deeper into the technicalities. Nova is a high-speed recursive SNARK (Succinct Non-interactive Argument of Knowledge). A SNARK is a type of cryptographic proof system that enables a prover ...
We are the experts in blockchain security.



Zero Knowledge for Dummies: Introduction to ZK Proofs
Do you have zero knowledge about zero knowledge? Do you want to learn more about it? You’re in the right place and we have cookies. Today we dive into the basics of zero-knowledge proofs (ZKPs), how they work and why you should care about them.What is a ZK ProofZKPs were first mentioned in a paper by Shafi Goldwasser, Silvio Micali and Charles Rackoff. Titled “The knowledge complexity of interactive proof systems”, the paper was published in 1985 — for our GenZ readers, 1985 is a point in the...

Intro to Nova & ZK Folding Schemes: Folding and Nova
This is a blog series in which we explore ZK folding schemes and NOVA. Read the previous articles: 📓 PART I: Recursive SNARKs and Incrementally Verifiable Computation 📓 Part II: Halo and Accumulation As we made it this far, we are now ready to dive deep into folding and Nova. Note that at first this part might seem a bit technical. The main hurdle is however the notation. Once we tackle that, all that remains is to enjoy the elegant folding idea. First a short recap of what we covered until...

Introduction to Nova and ZK Folding Schemes
This is the first of a sequence of blog posts on Nova, a recursive proof system based on a clever folding scheme for R1CS statements (more precisely relaxed R1CS statements, these and their generalizations will be defined in the next blog posts). We will start gently and later on in the series we will dive deeper into the technicalities. Nova is a high-speed recursive SNARK (Succinct Non-interactive Argument of Knowledge). A SNARK is a type of cryptographic proof system that enables a prover ...
We are the experts in blockchain security.
Share Dialog
Share Dialog

Subscribe to Veridise

Subscribe to Veridise
Zero-Knowledge (ZK) circuits, despite their seemingly complex name, are a revolutionary concept that is shaping the future of blockchain tech. In this article, we’ll break down the fundamentals of ZK circuits in a beginner-friendly manner, explaining their importance, common use cases, and the security implications of their adoption. Whether you’re a novice blockchain developer, a crypto enthusiast, or a non-technical manager in the blockchain industry, this guide is designed to help you understand the significance of ZK circuits.
At its core, ZK refers to a cryptographic technique that enables one party (the prover) to convince another party (the verifier) that they possess certain information without revealing the actual information itself. ZK circuits are mathematical constructs which allow us to apply this cryptographic technique to programs.
In simpler terms, ZK circuits allow you to prove that you know something without revealing what that something is.
Sounds a lot like the definition of ZK proofs we gave in a previous article, doesn’t it? Well, ZK proofs are a cryptographic protocol, and a ZK circuit is a specific tool or technique used to encode computer programs as ZK proofs. It defines the rules and logic to verify that a program was run correctly.
A ZK proof system dictates how proofs are generated/verified (a complicated cryptographic construct). A ZK circuit is an encoding of a program into constraints. This means that a ZK framework will take a circuit and transform its constraints into whatever form the proof system expects. So, one ZK circuit may be associated with multiple ways to generate proofs.
In simple words, ZK circuits are the behind-the-scenes machinery that enables the magic trick of ZK proofs.
Now that we have a basic understanding of what ZK circuits are, let’s explore why they are significant in the world of blockchain and cryptocurrency.
One of the most compelling use cases of ZK circuits is enhancing privacy on the blockchain. Traditional blockchains, like Bitcoin and Ethereum, are inherently transparent, meaning that all transaction details are visible to anyone. ZK circuits, however, enable confidential transactions, where the sender, receiver, and transaction amount can remain hidden while still being verifiable.
This privacy feature is crucial for protecting sensitive financial information and ensuring user confidentiality, which is especially important in financial services, healthcare, and supply chain applications.
Blockchain scalability has been a persistent challenge for the entire industry. Even in 2024, transaction speeds are still slow and transaction fees — high. This hinders the active adoption of Web3 and blockchain-powered applications. With ZK circuits, these concerns can be significantly alleviated. Multiple transactions can be aggregated into a single proof, which is then verified on-chain. This means that the blockchain can process a larger volume of transactions in a single batch, resulting in improved scalability and reduced congestion.
ZK circuits can enhance blockchain security by enabling the verification of complex computations off-chain while still ensuring the validity of those computations. This reduces the computational burden on the blockchain network, increasing its efficiency and making it more resistant to potential attacks. Additionally, ZK circuits can be used to verify the accuracy of data or smart contract execution, reducing the risk of fraud or manipulation.
While ZK circuits offer numerous benefits, they also come with their own set of challenges — particularly from a blockchain security perspective. Being very complex, they require exceptional understanding of cryptography and mathematics.
The technical security of ZK circuits hinges on their soundness (false statements should not be accepted) and completeness (true statements should be provable). Any compromise in these aspects could lead to incorrect verification, undermining security.
The most common categories of bugs that we see in ZKP circuits are unconstrained signals, constraint or computation discrepancy; unsafe component usage; logical errors; and trusted setup leaks. These are all quite serious and can lead to significant losses and damages, depending on the particular use case of a ZK proof.
The good news is that security vulnerabilities and potential bugs in ZKP circuits can be prevented by using formal verification methods and static analysis. We at Veridise are experts at this so if you are developing anything ZK related, we encourage you to get in touch with us and talk about the security of your tech.
With the evolving threat landscape of Web3, it pays out to stay ahead of potential security incidents.
ZK technology is the new hot girl on the blockchain scene, as it offers solutions to blockchain’s biggest issues — privacy and scalability. The adoption of ZK is quickly reshaping the entire blockchain landscape, ushering in an era of improved privacy, efficiency, and trust.
This is why we can confidently call ZK circuits a groundbreaking advancement. These mathematical constructs enable users to prove knowledge without revealing sensitive information, making them a powerful tool for blockchain developers, crypto investors, and industry leaders.
Twitter | Lens Protocol | LinkedIn | Github | Request Audit
Zero-Knowledge (ZK) circuits, despite their seemingly complex name, are a revolutionary concept that is shaping the future of blockchain tech. In this article, we’ll break down the fundamentals of ZK circuits in a beginner-friendly manner, explaining their importance, common use cases, and the security implications of their adoption. Whether you’re a novice blockchain developer, a crypto enthusiast, or a non-technical manager in the blockchain industry, this guide is designed to help you understand the significance of ZK circuits.
At its core, ZK refers to a cryptographic technique that enables one party (the prover) to convince another party (the verifier) that they possess certain information without revealing the actual information itself. ZK circuits are mathematical constructs which allow us to apply this cryptographic technique to programs.
In simpler terms, ZK circuits allow you to prove that you know something without revealing what that something is.
Sounds a lot like the definition of ZK proofs we gave in a previous article, doesn’t it? Well, ZK proofs are a cryptographic protocol, and a ZK circuit is a specific tool or technique used to encode computer programs as ZK proofs. It defines the rules and logic to verify that a program was run correctly.
A ZK proof system dictates how proofs are generated/verified (a complicated cryptographic construct). A ZK circuit is an encoding of a program into constraints. This means that a ZK framework will take a circuit and transform its constraints into whatever form the proof system expects. So, one ZK circuit may be associated with multiple ways to generate proofs.
In simple words, ZK circuits are the behind-the-scenes machinery that enables the magic trick of ZK proofs.
Now that we have a basic understanding of what ZK circuits are, let’s explore why they are significant in the world of blockchain and cryptocurrency.
One of the most compelling use cases of ZK circuits is enhancing privacy on the blockchain. Traditional blockchains, like Bitcoin and Ethereum, are inherently transparent, meaning that all transaction details are visible to anyone. ZK circuits, however, enable confidential transactions, where the sender, receiver, and transaction amount can remain hidden while still being verifiable.
This privacy feature is crucial for protecting sensitive financial information and ensuring user confidentiality, which is especially important in financial services, healthcare, and supply chain applications.
Blockchain scalability has been a persistent challenge for the entire industry. Even in 2024, transaction speeds are still slow and transaction fees — high. This hinders the active adoption of Web3 and blockchain-powered applications. With ZK circuits, these concerns can be significantly alleviated. Multiple transactions can be aggregated into a single proof, which is then verified on-chain. This means that the blockchain can process a larger volume of transactions in a single batch, resulting in improved scalability and reduced congestion.
ZK circuits can enhance blockchain security by enabling the verification of complex computations off-chain while still ensuring the validity of those computations. This reduces the computational burden on the blockchain network, increasing its efficiency and making it more resistant to potential attacks. Additionally, ZK circuits can be used to verify the accuracy of data or smart contract execution, reducing the risk of fraud or manipulation.
While ZK circuits offer numerous benefits, they also come with their own set of challenges — particularly from a blockchain security perspective. Being very complex, they require exceptional understanding of cryptography and mathematics.
The technical security of ZK circuits hinges on their soundness (false statements should not be accepted) and completeness (true statements should be provable). Any compromise in these aspects could lead to incorrect verification, undermining security.
The most common categories of bugs that we see in ZKP circuits are unconstrained signals, constraint or computation discrepancy; unsafe component usage; logical errors; and trusted setup leaks. These are all quite serious and can lead to significant losses and damages, depending on the particular use case of a ZK proof.
The good news is that security vulnerabilities and potential bugs in ZKP circuits can be prevented by using formal verification methods and static analysis. We at Veridise are experts at this so if you are developing anything ZK related, we encourage you to get in touch with us and talk about the security of your tech.
With the evolving threat landscape of Web3, it pays out to stay ahead of potential security incidents.
ZK technology is the new hot girl on the blockchain scene, as it offers solutions to blockchain’s biggest issues — privacy and scalability. The adoption of ZK is quickly reshaping the entire blockchain landscape, ushering in an era of improved privacy, efficiency, and trust.
This is why we can confidently call ZK circuits a groundbreaking advancement. These mathematical constructs enable users to prove knowledge without revealing sensitive information, making them a powerful tool for blockchain developers, crypto investors, and industry leaders.
Twitter | Lens Protocol | LinkedIn | Github | Request Audit
<100 subscribers
<100 subscribers
No activity yet