Dan Boneh
9 papers · 2017–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
🧬
Topic Evolution
👥
Mega-Team · Squad
🧭
Keyword Pioneer
🗃️
Keyword Collector
(52)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(7)
Application Areas
(5)
Deep Learning
(4)
Learning Types · Machine Learning
(3)
Core Methods
(2)
Natural Language Processing
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
zero-knowledge proof
(3)
neural network
(3)
adversarial training
(2)
feature learning
(1)
model robustness
(1)
robust classification
(1)
data poisoning
(1)
language model
(1)
explainability
(1)
least squares regression
(1)
backdoor attack
(1)
black-box attack
(1)
deep neural network
(1)
ensemble method
(1)
public data
(1)
model training
(1)
privacy preservation
(1)
adversarial example
(1)
risk assessment
(1)
adversarial robustness
(1)
Papers
Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
ICLR 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
ICML 2025
FairProof : Confidential and Certifiable Fairness for Neural Networks
ICML 2024
Optimistic Verifiable Training by Controlling Hardware Nondeterminism
NeurIPS 2024
Differentially Private Learning Needs Better Features (or Much More Data)
ICLR 2021
Adversarial Training and Robustness for Multiple Perturbations
NeurIPS 2019
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
ICLR 2019
Ensemble Adversarial Training: Attacks and Defenses
ICLR 2018
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics
NSDI 2017