Fan Zhang

Assistant Professor

About Me

I’m an Assistant Professor in Computer Science at Yale University. My research focuses on the security, privacy and scalability of decentralized systems, in particular those enabled by blockchains and trusted execution environments (TEEs). To learn more, you can check out my research page and publications. In my separate capacity, I’m a security researcher at Chainlink Labs. I received my Ph.D. in Computer Science from Cornell University, advised by Prof. Ari Juels. I received my bachelor’s degree from Tsinghua University.

Updates

  • Aug
    12
    We wrote a blog post on incentive attacks in HTLCs and our solution He-HTLC.
  • Aug
    01
    Received an NSF Frontier grant for the Center for Distributed Confidential Computing. This is a multi-institution effort, involving faculty from IU (Lead), CMU, Duke, OSU, Penn State, Purdue, Spelman, UIUC and Yale. Yale News.
  • Jul
    29
    Received three grants from Ethereum Foundation.
  • May
    05
    Manuscript on He-HTLC is online. We revisited bribery attacks in HTLCs (hash-time locked contracts), presented a new family of them (reverse bribery), and proposed a solution.
  • Apr
    22
    Our work on empirical analysis of EIP-1559 is presented at ETHconomics @ Devconnect 2022. Recording available here.
  • Mar
    11
    Our paper on empirical analysis of EIP-1559 is accepted in CCS 2022.
  • Mar
    16
    I will join the TPC of Oakland'23.
  • Dec
    01
    I will join the TPC of CCS'22 and DeFi'22.
  • May
    01
    I will join the TPC of PET 2022 and AFT 2021.
Older ones...
  • Nov
    13
    I joined the TPC of PET 2021 and CCS 2021.
  • Nov
    13
    I presented DECO at CCS'20.
  • Oct
    01
    I presented CanDID at the annual convention of Chinese Institute of Engineers - Greater New York Chapter.
  • Oct
    01
    I presented CanDID at Empire Hacking (organized by Trail of Bits).
  • Oct
    01
    I presented DECO at W3C Credential Community Group (CCG).
  • Oct
    01
    I joined the TPC of Financial Crypto 2021 and DeFi'21 workshop.
  • Sep
    30
    CanDID paper is accepted to IEEE S&P 2021!
  • Aug
    29
    DECO acquisition by ChainLink is announced!
  • Jul
    29
    CanDID, our latest work on Decentralized Identity (DID) is available online.
  • Mar
    30
    DECO accepted to CCS 2020!
  • Jan
    08
    Real World Crypto (RWC) video on DECO is now available online.
  • Oct
    25
    I visited ETH Zurich and presented “Connecting Blockchains to the Real World”.
  • Oct
    21
    I presented Paralysis Proofs at ACM AFT 2019 at Zurich, Switzerland.
  • Sep
    20
    I visited IBM Waston Center and presented DECO (Decenetralized Oracles)."
  • Sep
    01
    Two papers (CHURP, Tesseract) are accepted to ACM CCS'19! See you all in London!
  • Aug
    02
    “Paralysis Proofs: Secure Access-Structure Updates for Cryptocurrencies and More” is accepted to ACM AFT'19!
  • Apr
    01
    “Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution” is accepted to EuroS&P'19!
  • Nov
    01
    Town Crier is acquired by ChainLink!
  • Mar
    30
    I’m awarded the IBM PhD Fellowship Award for 2018-2020.
  • Mar
    02
    I presented Paralysis Proof at the 5th Bitcoin workshop @ Financial Crypto 2018 in Curacao.
  • Aug
    02
    Solidus: Confidential Distributed Ledger Transactions via PVORM is accepted to CCS'17.
  • Aug
    13
    I was invited to present Town Crier at Silicon Valley Ethereum Meetup.
  • Aug
    18
    I presented REM at USENIX Security 2017, Vancouver, Canada.
  • Jul
    10
    Intern at Intel Labs this summer.
  • May
    15
    Town Crier is officially live!
  • May
    11
    REM: Resource-Efficient Mining for Blockchains paper is accepted to USENIX Security'17. Available here.
  • Oct
    17
    Sealed-Glass Proofs: Using Transparent Enclaves to Prove and Sell Knowledge is accepted to EuroS&P ‘17.
  • Jul
    22
    Town Crier: An Authenticated Data Feed for Smart Contracts is accepted to ACM CCS'16.
  • May
    13
    Stealing Machine Learning Models via Prediction APIs is accepted to USENIX Security'16.

In the News

Some of the projects are featured in the news.