[{"data":1,"prerenderedAt":649},["ShallowReactive",2],{"guide-\u002Fguides\u002Fzero-knowledge-proofs-explained":3},{"id":4,"title":5,"author":6,"body":10,"category":614,"coverImage":615,"description":616,"difficulty":617,"estimatedTime":618,"extension":619,"featured":620,"meta":621,"navigation":636,"path":637,"prerequisites":638,"publishedAt":635,"seo":641,"stem":642,"tags":643,"updatedAt":635,"__hash__":648},"guides\u002Fguides\u002Fzero-knowledge-proofs-explained.md","Zero-Knowledge Proofs Explained: The Privacy Tech Powering Crypto's Future",{"name":7,"handle":8,"avatar":9},"stats_led","@stats_led","\u002Fimages\u002Fauthors\u002Fstats-led.svg",{"type":11,"value":12,"toc":593},"minimark",[13,17,22,44,48,51,54,57,75,78,81,102,106,109,115,135,142,145,148,154,158,164,167,193,196,200,298,301,305,314,317,337,340,346,350,353,358,361,364,368,371,374,378,381,384,387,391,394,397,403,409,415,418,422,425,428,439,445,459,463,466,472,478,484,490,496,504,508,511,514,545,548,551,555],[14,15,16],"p",{},"Zero-knowledge proofs are arguably the most intellectually significant cryptographic innovation of the past two decades, and they're quietly becoming foundational infrastructure for crypto, identity, and artificial intelligence. The concept sounds paradoxical at first: you can prove to someone that you know a secret — or that a statement is true — without revealing anything about the secret itself or the reason the statement is true. This isn't a trick. It's mathematically rigorous. And it's already running in production systems processing billions of dollars in transactions.",[18,19,21],"h2",{"id":20},"tldr","TL;DR",[23,24,25,29,32,35,38,41],"ul",{},[26,27,28],"li",{},"A zero-knowledge proof lets a \"prover\" convince a \"verifier\" that a statement is true without revealing any information beyond the truth of the statement itself",[26,30,31],{},"The classic intuition: the Ali Baba cave analogy — you prove you know the magic word without saying it",[26,33,34],{},"Two main proof systems in crypto: ZK-SNARKs (succinct, require trusted setup) and ZK-STARKs (no trusted setup, post-quantum secure, larger proofs)",[26,36,37],{},"ZK rollups (zkSync Era, Starknet, Linea, Polygon zkEVM) use ZK proofs to validate Ethereum L2 transaction batches with cryptographic finality",[26,39,40],{},"Privacy applications: Zcash (shielded transactions), Aztec Network (private DeFi), Tornado Cash (controversial mixer, sanctioned)",[26,42,43],{},"Emerging frontier: ZK proofs for identity verification, and ZKML (zero-knowledge machine learning) for verifiable AI inference",[18,45,47],{"id":46},"the-ali-baba-cave-understanding-zk-proofs-intuitively","The Ali Baba Cave: Understanding ZK Proofs Intuitively",[14,49,50],{},"Before diving into the cryptography, consider the classic thought experiment introduced by cryptographers Quisquater, Guillou, and colleagues in 1989.",[14,52,53],{},"Imagine a cave shaped like a ring with a magic door across one path that can only be opened with a secret password. You want to prove to your friend that you know the password, but you don't want to reveal the password itself.",[14,55,56],{},"Here's how a zero-knowledge proof works in this scenario:",[58,59,60,63,66,69,72],"ol",{},[26,61,62],{},"Your friend stands at the entrance of the cave while you go in and randomly take either path — left or right — disappearing around the ring",[26,64,65],{},"Your friend walks to the fork and shouts which path you should emerge from — randomly choosing \"left\" or \"right\"",[26,67,68],{},"If you know the password, you can always emerge from the correct path: if you took the left path but need to emerge from the right, you pass through the magic door",[26,70,71],{},"If you don't know the password, you can only comply 50% of the time (only when you happen to already be on the correct side)",[26,73,74],{},"Repeat this 20 times: if you succeed every time, the probability you're cheating is 1 in 2^20 — less than one in a million",[14,76,77],{},"After enough rounds, your friend is mathematically convinced you know the password. Yet they've learned absolutely nothing about what the password is. That's a zero-knowledge proof.",[14,79,80],{},"The three formal properties a ZK proof must satisfy are:",[23,82,83,90,96],{},[26,84,85,89],{},[86,87,88],"strong",{},"Completeness",": If the statement is true and both parties are honest, the verifier will be convinced",[26,91,92,95],{},[86,93,94],{},"Soundness",": If the statement is false, a cheating prover cannot convince the verifier (except with negligible probability)",[26,97,98,101],{},[86,99,100],{},"Zero-knowledge",": The verifier learns nothing about the witness (the secret) beyond the fact that the statement is true",[18,103,105],{"id":104},"zk-snarks-succinct-non-interactive-arguments-of-knowledge","ZK-SNARKs: Succinct, Non-Interactive Arguments of Knowledge",[14,107,108],{},"Modern ZK proof systems don't require back-and-forth interaction like the cave scenario. They're \"non-interactive\" — the prover generates a proof and the verifier can check it independently, at any time, without further communication. This is essential for blockchain use cases where the \"verifier\" is a smart contract.",[14,110,111,114],{},[86,112,113],{},"ZK-SNARKs"," (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge) were the first practical non-interactive proof system to see widespread deployment in crypto. Key properties:",[23,116,117,123,129],{},[26,118,119,122],{},[86,120,121],{},"Succinct",": Proofs are small (typically 128-288 bytes) and fast to verify (milliseconds), regardless of the complexity of the computation being proved",[26,124,125,128],{},[86,126,127],{},"Non-interactive",": No back-and-forth between prover and verifier required",[26,130,131,134],{},[86,132,133],{},"Arguments of knowledge",": The prover must actually \"know\" the witness, not just be able to satisfy the relation by luck",[14,136,137,138,141],{},"The trade-off is the ",[86,139,140],{},"trusted setup",". Most SNARK systems require a \"ceremony\" — a multi-party computation ritual — to generate cryptographic parameters. If even one participant in the ceremony is honest and later destroys their \"toxic waste\" (their portion of the secret), the parameters are trustworthy. But if all participants collude and keep their secrets, they can generate false proofs.",[14,143,144],{},"Zcash's \"Powers of Tau\" ceremony involved hundreds of participants specifically to mitigate this risk. Zcash Sapling's ceremony in 2018 included contributions from security researchers, cryptographers, and even some generated in theatrical ways (one was generated by a human randomly walking around a room with an air-gapped laptop).",[14,146,147],{},"Later SNARK constructions like PLONK, Groth16, and Halo2 have evolved the trusted setup requirement — PLONK uses a \"universal\" setup that can be reused across different circuits, and Halo2 (developed by Electric Coin Company and used by Zcash's Orchard shielded pool) eliminates the trusted setup requirement entirely through recursive proof composition.",[14,149,150,153],{},[86,151,152],{},"Chains using SNARKs",": Zcash (Groth16, Halo2), zkSync Era (custom SNARK), Polygon zkEVM (SNARK), Linea (SNARK).",[18,155,157],{"id":156},"zk-starks-transparent-and-post-quantum-secure","ZK-STARKs: Transparent and Post-Quantum Secure",[14,159,160,163],{},[86,161,162],{},"ZK-STARKs"," (Zero-Knowledge Scalable Transparent Arguments of Knowledge) were developed by Eli Ben-Sasson and colleagues at Technion and StarkWare. STARKs solve the trusted setup problem entirely by relying only on hash functions — cryptographic primitives that are well-understood and don't require any secret parameters.",[14,165,166],{},"Key STARK properties:",[23,168,169,175,181,187],{},[26,170,171,174],{},[86,172,173],{},"Transparent",": No trusted setup, no toxic waste, no ceremony required",[26,176,177,180],{},[86,178,179],{},"Post-quantum secure",": STARK security relies on hash functions (SHA-256, Keccak, Poseidon), which are believed to be resistant to quantum computers. SNARK security relies on elliptic curve pairings, which would be broken by a sufficiently powerful quantum computer",[26,182,183,186],{},[86,184,185],{},"Scalable",": Proof generation time scales quasi-linearly with computation size, making very large computations efficient to prove",[26,188,189,192],{},[86,190,191],{},"Larger proofs",": The main trade-off — STARK proofs are larger (50-200KB vs. hundreds of bytes for SNARKs), making on-chain verification more expensive",[14,194,195],{},"Starknet and StarkEx (the permissioned version used by dYdX v3, Immutable X, and others) use STARKs. The Cairo virtual machine was designed from the ground up to be STARK-friendly — computations in Cairo generate proof-friendly execution traces.",[18,197,199],{"id":198},"zk-snarks-vs-zk-starks-comparison","ZK-SNARKs vs ZK-STARKs: Comparison",[201,202,203,217],"table",{},[204,205,206],"thead",{},[207,208,209,213,215],"tr",{},[210,211,212],"th",{},"Property",[210,214,113],{},[210,216,162],{},[218,219,220,232,243,254,265,276,287],"tbody",{},[207,221,222,226,229],{},[223,224,225],"td",{},"Trusted setup required",[223,227,228],{},"Yes (for most constructions)",[223,230,231],{},"No (fully transparent)",[207,233,234,237,240],{},[223,235,236],{},"Proof size",[223,238,239],{},"Very small (~128–288 bytes)",[223,241,242],{},"Larger (~50–200 KB)",[207,244,245,248,251],{},[223,246,247],{},"Verification cost (on-chain gas)",[223,249,250],{},"Very low",[223,252,253],{},"Higher",[207,255,256,259,262],{},[223,257,258],{},"Prover computational cost",[223,260,261],{},"Moderate",[223,263,264],{},"Higher for small computations, scales better for large",[207,266,267,270,273],{},[223,268,269],{},"Post-quantum security",[223,271,272],{},"No (relies on elliptic curves)",[223,274,275],{},"Yes (relies on hash functions)",[207,277,278,281,284],{},[223,279,280],{},"Maturity",[223,282,283],{},"High (Zcash, many protocols since 2016)",[223,285,286],{},"Medium (Starknet mainnet since 2022)",[207,288,289,292,295],{},[223,290,291],{},"Key users",[223,293,294],{},"Zcash, zkSync, Polygon zkEVM, Linea",[223,296,297],{},"Starknet, StarkEx (dYdX v3, ImmutableX)",[14,299,300],{},"In practice, the choice between SNARKs and STARKs in 2026 often comes down to ecosystem: if you're building in the Starknet ecosystem, you use STARKs. If you're building a zkEVM for maximum Ethereum compatibility, SNARKs are currently more practical because of their smaller proof size.",[18,302,304],{"id":303},"zk-rollups-how-zk-proofs-scale-ethereum","ZK Rollups: How ZK Proofs Scale Ethereum",[14,306,307,308,313],{},"The most impactful current use of ZK proofs in crypto is ZK rollups — Layer 2 scaling solutions that use validity proofs to compress thousands of transactions into a single proof verified on Ethereum. For a comprehensive overview of the L2 landscape, see our ",[309,310,312],"a",{"href":311},"\u002Fguides\u002Flayer-2-scaling-solutions-guide","Layer 2 scaling solutions guide",".",[14,315,316],{},"Here's how a ZK rollup works at a technical level:",[58,318,319,322,325,328,331,334],{},[26,320,321],{},"Users submit transactions to the rollup's sequencer",[26,323,324],{},"The sequencer executes the transactions off-chain in the rollup's VM",[26,326,327],{},"A prover (often a specialized hardware cluster) generates a validity proof that cryptographically attests: \"All these transactions were executed correctly, given this initial state, the resulting state is X\"",[26,329,330],{},"The proof + compressed transaction data is submitted to an Ethereum smart contract",[26,332,333],{},"The smart contract verifies the proof (this takes a fixed amount of gas regardless of the number of transactions proven) and updates the state root",[26,335,336],{},"Once verified, the state is final — no challenge period, no waiting",[14,338,339],{},"The cryptographic proof generation is the computationally expensive step. Generating a ZK proof for a batch of 10,000 transactions can take minutes to hours on commodity hardware, though specialized ASIC hardware and algorithmic improvements are rapidly improving this. zkSync Era and Starknet have both invested heavily in proof generation optimization.",[14,341,342,345],{},[86,343,344],{},"EVM equivalence in ZK systems"," is a major engineering challenge. Ethereum's EVM was not designed with ZK-friendliness in mind — many EVM opcodes are expensive or awkward to prove in a circuit. ZK teams have taken different approaches: zkSync Era uses a custom bytecode compiler, Polygon zkEVM generates circuits that closely mirror EVM execution at the bytecode level, and Starknet uses a completely different VM (Cairo) with a compatibility layer for EVM contracts. Each approach has trade-offs in proof speed, EVM fidelity, and developer experience.",[18,347,349],{"id":348},"privacy-applications-of-zk-proofs","Privacy Applications of ZK Proofs",[14,351,352],{},"While ZK rollups use ZK proofs primarily for scalability (the \"zero-knowledge\" property isn't fully used — transaction data is public on L1), ZK proofs also enable genuine privacy applications.",[354,355,357],"h3",{"id":356},"zcash","Zcash",[14,359,360],{},"Zcash (ZEC) is the original ZK-proof-enabled privacy coin, launched in 2016. It uses zk-SNARKs (specifically Groth16 and now Halo2) to enable \"shielded transactions\" — transfers where the sender, recipient, and amount are all hidden from the public blockchain. Transparent Zcash transactions look identical to Bitcoin transactions. Shielded transactions prove \"this spend is valid and authorized\" without revealing who's spending what to whom.",[14,362,363],{},"The cryptographic elegance of Zcash's shielded pool is remarkable, but adoption has been a challenge: most ZEC transactions remain unshielded because most exchanges don't support shielded addresses, undermining the privacy of the network.",[354,365,367],{"id":366},"aztec-network","Aztec Network",[14,369,370],{},"Aztec Network is building a privacy-first L2 on Ethereum using a ZK-SNARK system called UltraHonk (based on PLONK). The vision is \"programmable privacy\" — a smart contract platform where applications can have private state. This would enable private DeFi: you could swap tokens, take a loan, or participate in a vote without revealing your holdings or activity on-chain.",[14,372,373],{},"Aztec's Aztec Connect allowed users to interact with existing Ethereum DeFi protocols (Curve, Element Finance) with privacy — hiding transaction amounts and user identities. Aztec Connect was sunset in 2023 as the team focused on building the next-generation Aztec L2, which entered public testing in 2025.",[354,375,377],{"id":376},"tornado-cash","Tornado Cash",[14,379,380],{},"Tornado Cash was an Ethereum smart contract mixer that used ZK proofs to sever the on-chain link between deposit and withdrawal addresses. A user would deposit a fixed amount of ETH (0.1, 1, 10, or 100 ETH), receive a cryptographic note, and later withdraw the same amount to a different address. The ZK proof demonstrated knowledge of the deposit note without revealing which deposit it corresponded to.",[14,382,383],{},"In August 2022, the US Treasury's OFAC sanctioned Tornado Cash — a landmark and controversial action, as it was the first time smart contract addresses themselves were sanctioned rather than individuals. The developer Roman Storm was arrested and charged with money laundering conspiracy. The legal proceedings raised fundamental questions about developer liability for privacy tools. On March 21, 2025, OFAC removed Tornado Cash from its sanctions list following a Fifth Circuit court ruling. Tornado Cash's smart contracts continue to function on Ethereum (contracts are immutable) and are no longer subject to US sanctions, though regulatory clarity on their use continues to evolve.",[14,385,386],{},"The Tornado Cash episode illustrates the regulatory complexity around privacy technology — a genuine tension between financial privacy as a human right and anti-money-laundering enforcement.",[18,388,390],{"id":389},"zk-proofs-for-identity-verification","ZK Proofs for Identity Verification",[14,392,393],{},"One of the most promising non-financial applications of ZK proofs is privacy-preserving identity verification.",[14,395,396],{},"The classic problem: you want to prove you're over 18 to access a service, but you don't want to reveal your actual birthdate, name, or ID document number. With a ZK proof, a government-issued credential (a digital passport, a state-issued ID) could be used to generate a proof of \"age > 18\" without revealing any other information.",[14,398,399,402],{},[86,400,401],{},"Polygon ID"," (now part of the Privado.id ecosystem) is building exactly this: a self-sovereign identity system where users hold verified credentials in a wallet and generate ZK proofs on-demand for different applications without sharing the underlying data.",[14,404,405,408],{},[86,406,407],{},"Worldcoin (World ID)"," uses a different approach: an orb device scans your iris, generates a unique iris code, and creates a ZK proof that you're a unique human without storing the biometric data. This \"proof of personhood\" is designed to be used for Sybil-resistant applications — voting, airdrops, social verification — where you need to confirm someone is a real, unique person without knowing their identity.",[14,410,411,414],{},[86,412,413],{},"Reclaim Protocol"," enables users to prove off-chain data (bank account balance, social media following count, professional credentials) on-chain using ZK proofs derived from HTTPS sessions.",[14,416,417],{},"These identity applications are still early — the UX for generating and using ZK credentials is complex, and the standards around credential formats (W3C Verifiable Credentials, etc.) are still being established. But the potential to dramatically improve how we handle identity online — with privacy preservation as a fundamental design principle — is one of the most compelling long-term use cases for ZK technology.",[18,419,421],{"id":420},"zkml-zero-knowledge-machine-learning","ZKML: Zero-Knowledge Machine Learning",[14,423,424],{},"The newest frontier in ZK proofs is applying them to machine learning inference — proving that a computation was performed by a specific model on specific inputs, without revealing the model weights or (optionally) the inputs themselves.",[14,426,427],{},"Why does this matter? Consider these scenarios:",[23,429,430,433,436],{},[26,431,432],{},"An AI company wants to prove their model produces a particular output for a given input, for regulatory auditing, without revealing proprietary model weights",[26,434,435],{},"A user wants to prove they passed an AI-based credit scoring model without the bank knowing their full financial data",[26,437,438],{},"A decentralized AI protocol wants to verify that GPU providers ran the correct model inference, not a cheaper approximation",[14,440,441,444],{},[86,442,443],{},"EZKL"," is an open-source library for compiling neural network inference into ZK circuits. It supports ONNX models and generates SNARK proofs of inference. Current practical limitations: ZK proofs of large modern transformer models (GPT-scale) are computationally prohibitive with today's technology. But smaller models (image classifiers, fraud detection models, small language models) are increasingly feasible.",[14,446,447,450,451,454,455,458],{},[86,448,449],{},"Giza",", ",[86,452,453],{},"Orion",", and ",[86,456,457],{},"Modulus Labs"," are building ZKML tooling and demonstrating proofs of increasingly complex models. The trajectory of ZK proof efficiency improvements — driven by new proving systems (like Binius and GKR), hardware acceleration, and better arithmetization techniques — suggests ZKML will become practical for meaningful model sizes within the next 3-5 years.",[18,460,462],{"id":461},"the-zk-proof-engineering-ecosystem","The ZK Proof Engineering Ecosystem",[14,464,465],{},"Building with ZK proofs requires specialized tools. The major programming frameworks:",[14,467,468,471],{},[86,469,470],{},"Circom",": A domain-specific language for writing ZK circuits used with the snarkjs library. Widely used for Ethereum-based ZK applications. Steep learning curve but very flexible.",[14,473,474,477],{},[86,475,476],{},"Noir"," (Aztec Labs): A high-level language for writing ZK circuits that compiles to ACIR (Abstract Circuit Intermediate Representation). Designed for developer ergonomics over raw performance.",[14,479,480,483],{},[86,481,482],{},"Cairo"," (StarkWare): Starknet's native language, designed from scratch to generate efficient STARK proofs. Has a growing standard library (Alexandria) and is now also used outside Starknet for standalone ZK applications.",[14,485,486,489],{},[86,487,488],{},"RISC Zero",": A general-purpose ZK virtual machine that runs RISC-V code and generates proofs of execution. This means any program that compiles to RISC-V (Rust, C, Go) can have its execution proved, dramatically lowering the barrier to entry for ZK application development.",[14,491,492,495],{},[86,493,494],{},"SP1"," (Succinct Labs): Another general-purpose ZK VM focused on proving Rust programs. Used for zkVM-based bridges and coprocessors.",[14,497,498,499,503],{},"For those interested in the security implications and audit requirements of ZK circuit code, our ",[309,500,502],{"href":501},"\u002Fguides\u002Fsmart-contract-security-auditing-guide","smart contract security auditing guide"," covers related concepts — though ZK circuit auditing requires additional specialized expertise beyond standard smart contract review.",[18,505,507],{"id":506},"the-outlook-for-zero-knowledge-technology","The Outlook for Zero-Knowledge Technology",[14,509,510],{},"Zero-knowledge proofs have moved from academic curiosity to production infrastructure in less than a decade. The proof generation performance improvements have been staggering: what took minutes in 2018 takes seconds in 2026, and specialized hardware is driving further improvements.",[14,512,513],{},"The applications scaling in parallel:",[23,515,516,522,533,539],{},[26,517,518,521],{},[86,519,520],{},"ZK rollups"," continue to mature, with proof generation times approaching near-real-time and fees continuing to fall",[26,523,524,527,528,532],{},[86,525,526],{},"ZK bridges"," (using ZK proofs to verify consensus) are replacing trust-minimized bridges with cryptographic security — see our ",[309,529,531],{"href":530},"\u002Fguides\u002Fcross-chain-bridge-mechanics-guide","cross-chain bridge mechanics guide"," for how bridges work today and where ZK bridges fit in",[26,534,535,538],{},[86,536,537],{},"ZK identity"," is moving from prototype to early production in Europe (aligned with eIDAS 2.0 digital identity wallet requirements) and in blockchain-native applications",[26,540,541,544],{},[86,542,543],{},"ZKML"," is transitioning from research to early tooling, with production applications likely within 2-4 years",[14,546,547],{},"The Ethereum roadmap explicitly depends on ZK proofs for its endgame: the eventual goal is for Ethereum itself to have its execution proved by a ZK circuit, enabling full \"ZK-Ethereum\" where clients can verify the entire chain state from a single small proof. This is the Ethereum Foundation's \"Verge\" roadmap milestone.",[14,549,550],{},"Zero-knowledge proofs are not a niche cryptographic curiosity. They are becoming structural infrastructure for trustless computation, privacy-preserving applications, and scalable blockchains. Understanding them is increasingly essential for anyone building in or reasoning about the future of crypto.",[18,552,554],{"id":553},"sources","Sources",[23,556,557,560,563,566,569,572,575,578,581,584,587,590],{},[26,558,559],{},"Goldwasser, Micali, Rackoff: \"The Knowledge Complexity of Interactive Proof Systems\" (1989) — foundational ZK paper",[26,561,562],{},"Ben-Sasson et al.: \"STARKs\" original paper (2018)",[26,564,565],{},"Zcash protocol documentation and Halo2 specification",[26,567,568],{},"EigenLayer and ZK bridging documentation",[26,570,571],{},"Polygon ID \u002F Privado.id technical documentation",[26,573,574],{},"EZKL documentation and ZKML benchmarks",[26,576,577],{},"Aztec Network technical blog and UltraHonk specification",[26,579,580],{},"Matter Labs zkSync Era ZK circuit documentation",[26,582,583],{},"StarkWare developer documentation",[26,585,586],{},"RISC Zero documentation",[26,588,589],{},"Ethereum Foundation \"The Verge\" roadmap documentation",[26,591,592],{},"L2Beat ZK rollup security analysis",{"title":594,"searchDepth":595,"depth":595,"links":596},"",2,[597,598,599,600,601,602,603,609,610,611,612,613],{"id":20,"depth":595,"text":21},{"id":46,"depth":595,"text":47},{"id":104,"depth":595,"text":105},{"id":156,"depth":595,"text":157},{"id":198,"depth":595,"text":199},{"id":303,"depth":595,"text":304},{"id":348,"depth":595,"text":349,"children":604},[605,607,608],{"id":356,"depth":606,"text":357},3,{"id":366,"depth":606,"text":367},{"id":376,"depth":606,"text":377},{"id":389,"depth":595,"text":390},{"id":420,"depth":595,"text":421},{"id":461,"depth":595,"text":462},{"id":506,"depth":595,"text":507},{"id":553,"depth":595,"text":554},"Technology","\u002Fimages\u002Fguides\u002Flayer-2-scaling-solutions-explained.svg","Zero-knowledge proofs let you prove something is true without revealing why. Learn ZK-SNARKs vs STARKs, ZK rollups, Zcash, Aztec, and ZK's future in crypto and AI.","intermediate","20 min read","md",false,{"seoTitle":622,"categories":623,"keywords":624,"schema":630},"Zero-Knowledge Proofs Explained: ZK-SNARKs, STARKs & ZK Rollups",[614],[625,626,520,627,367,628,629],"zero-knowledge proofs explained","ZK-SNARKs vs STARKs","Zcash privacy","zkSync","Starknet",{"type":631,"headline":632,"name":632,"description":633,"totalTime":634,"datePublished":635,"dateModified":635},"Article","Zero-Knowledge Proofs Explained: The Privacy Tech Powering Crypto","Zero-knowledge proofs let you prove something is true without revealing why. Learn ZK-SNARKs vs STARKs, ZK rollups, Zcash, Aztec, and ZK","PT20M","2026-02-26T10:00:00.000Z",true,"\u002Fguides\u002Fzero-knowledge-proofs-explained",[639,640],"Basic blockchain understanding","Familiarity with Ethereum smart contracts",{"title":5,"description":616},"guides\u002Fzero-knowledge-proofs-explained",[644,520,113,645,646,647],"zero-knowledge proofs","STARKs","privacy","cryptography","prwDpnaz0hfYRZQ2w8hTKnfwsTTBfIDibY8qrs-gDyo",1779818591489]