Publications

Manuscripts

Beyond Software Watermarking: Traitor-Tracing for Pseudorandom Functions: Rishab Goyal, Sam Kim, Brent Waters, and David J. Wu

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

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