Manuscripts
- Keeping Patient Phenotypes and Genotypes Private while Seeking Disease Diagnoses
  
Karthik A. Jagadeesh,
David J. Wu,
Johannes A. Birgmeier,
Dan Boneh, and
Gill Bejerano
Conference, Journal, and Workshop Publications
- Batch Arguments for NP and More from Standard Bilinear Group Assumptions
  
Brent Waters and
David J. Wu
Crypto 2022 Best Paper Award
- Spiral: Fast, High-Rate Single-Server PIR via FHE Composition
  
Samir Jordan Menon and
David J. Wu
Oakland 2022
- Traceable PRFs: Full Collusion Resistance and Active Security
  
Sarasij Maitra and
David J. Wu
PKC 2022 Invited to the Journal of Cryptology
- Beyond Software Watermarking: Traitor-Tracing for Pseudorandom Functions
  
Rishab Goyal,
Sam Kim,
Brent Waters, and
David J. Wu
Asiacrypt 2021
- Shorter and Faster Post-Quantum Designated-Verifier zkSNARKs from Lattices
  
Yuval Ishai,
Hang Su, and
David J. Wu
CCS 2021
- CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
  
Sijun Tan,
Brian Knott,
Yuan Tian, and
David J. Wu
Oakland 2021
- Avoiding Genetic Racial Profiling in Criminal DNA Profile Databases
  
Jacob A. Blindenbach,
Karthik A. Jagadeesh,
Gill Bejerano, and
David J. Wu
Nature Computational Science 2021
- Collusion Resistant Trace-and-Revoke for Arbitrary Identities from Standard Assumptions
  
Sam Kim and
David J. Wu
Asiacrypt 2020
- On Succinct Arguments and Witness Encryption from Groups
  
Ohad Barta,
Yuval Ishai,
Rafail Ostrovsky, and
David J. Wu
Crypto 2020
- Can Verifiable Delay Functions be Based on Random Oracles?
  
Mohammad Mahmoody,
Caleb Smith, and
David J. Wu
ICALP 2020
- New Constructions of Statistical NIZKs: Dual-Mode DV-NIZKs and More
  
Benoît Libert,
Alain Passelègue,
Hoeteck Wee, and
David J. Wu
Eurocrypt 2020
- New Constructions of Reusable Designated-Verifier NIZKs
  
Alex Lombardi,
Willy Quach,
Ron D. Rothblum,
Daniel Wichs, and
David J. Wu
Crypto 2019
- Watermarking PRFs from Lattices: Stronger Security via Extractable PRFs
  
Sam Kim and
David J. Wu
Crypto 2019
- Watermarking Public-Key Cryptographic Primitives
  
Rishab Goyal,
Sam Kim,
Nathan Manohar,
Brent Waters, and
David J. Wu
Crypto 2019
- Exploring Crypto Dark Matter: New Simple PRF Candidates and Their Applications
  
Dan Boneh,
Yuval Ishai,
Alain Passelègue,
Amit Sahai, and
David J. Wu
TCC 2018
- Function-Hiding Inner Product Encryption is Practical
  
Sam Kim,
Kevin Lewi,
Avradip Mandal,
Hart Montgomery,
Arnab Roy, and
David J. Wu
SCN 2018
- Multi-Theorem Preprocessing NIZKs from Lattices
  
Sam Kim and
David J. Wu
Crypto 2018 Journal of Cryptology 2020 Best Young-Researcher Paper Award Invited to the Journal of Cryptology
- Quasi-Optimal SNARGs via Linear Multi-Prover Interactive Proofs
  
Dan Boneh,
Yuval Ishai,
Amit Sahai, and
David J. Wu
Eurocrypt 2018
- Secure Genome-Wide Association Analysis using Multiparty Computation
  
Hyunghoon Cho,
David J. Wu, and
Bonnie Berger
Nature Biotechnology 2018
- Access Control Encryption for General Policies from Standard Assumptions
  
Sam Kim and
David J. Wu
Asiacrypt 2017
- Constrained Keys for Invertible Pseudorandom Functions
  
Dan Boneh,
Sam Kim, and
David J. Wu
TCC 2017
- Watermarking Cryptographic Functionalities from Standard Lattice Assumptions
  
Sam Kim and
David J. Wu
Crypto 2017 Journal of Cryptology 2021 Best Young-Researcher Paper Award Invited to the Journal of Cryptology
- Deriving Genomic Diagnoses Without Revealing Patient Genomes
  
Karthik A. Jagadeesh,
David J. Wu,
Johannes A. Birgmeier,
Dan Boneh, and
Gill Bejerano
Science 2017
- Quantum Operating Systems
  
Henry Corrigan-Gibbs,
David J. Wu, and
Dan Boneh
HotOS 2017
- Lattice-Based SNARGs and Their Application to More Efficient Obfuscation
  
Dan Boneh,
Yuval Ishai,
Amit Sahai, and
David J. Wu
Eurocrypt 2017
- Functional Encryption: Deterministic to Randomized Functions from Simple Assumptions
  
Shashank Agrawal and
David J. Wu
Eurocrypt 2017
- Constraining Pseudorandom Functions Privately
  
Dan Boneh,
Kevin Lewi, and
David J. Wu
PKC 2017
- Order-Revealing Encryption: New Constructions, Applications, and Lower Bounds
  
Kevin Lewi and
David J. Wu
CCS 2016
- Privacy, Discovery, and Authentication for the Internet of Things
  
David J. Wu,
Ankur Taly,
Asim Shankar, and
Dan Boneh
ESORICS 2016 Outstanding Paper Award
- Privately Evaluating Decision Trees and Random Forests
  
David J. Wu,
Tony Feng,
Michael Naehrig, and
Kristin Lauter
PETS 2016
- Practical Order-Revealing Encryption with Limited Leakage
  
Nathan Chenette,
Kevin Lewi,
Stephen A. Weis, and
David J. Wu
FSE 2016
- Privacy-Preserving Shortest Path Computation
  
David J. Wu,
Joe Zimmerman,
Jérémy Planul, and
John C. Mitchell
NDSS 2016
- Private Database Queries using Somewhat Homomorphic Encryption
  
Dan Boneh,
Craig Gentry,
Shai Halevi,
Frank Wang, and
David J. Wu
ACNS 2013
- Deep Learning with COTS HPC Systems
  
Adam Coates,
Brody Huval,
Tao Wang,
David J. Wu,
Andrew Y. Ng, and
Bryan Catanzaro
ICML 2013
- End-to-End Text Recognition with Convolutional Neural Networks
  
Tao Wang,
David J. Wu,
Adam Coates, and
Andrew Y. Ng
ICPR 2012
- Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning
  
Adam Coates,
Blake Carpenter,
Carl Case,
Sanjeev Satheesh,
Bipin Suresh,
Tao Wang,
David J. Wu, and
Andrew Y. Ng
ICDAR 2011 Best Student Paper Award
Theses
- Lattice-Based Non-Interactive Argument Systems
  
PhD Thesis (2018) Stanford Computer Science Advised by Professor Dan Boneh
- End-to-End Text Recognition with Convolutional Neural Networks
  
Undergraduate Thesis (2012) Stanford Computer Science Advised by Professor Andrew Y. Ng
Technical Reports
- Immunizing Multilinear Maps Against Zeroizing Attacks
  
Dan Boneh,
David J. Wu, and
Joe Zimmerman
- Using Homomorphic Encryption for Large Scale Statistical Analysis
  
David J. Wu and
Jacob Haven
Other Articles
- Fully Homomorphic Encryption: Cryptography's Holy Grail
  
David J. Wu
ACM XRDS 2015
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