Dan Boneh
9 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (8)
π
Cross-Pollinator
(9)
πΊοΈ
Taxonomy Completionist
(11)
π₯
Mega-Team
(25)
π
Conference Pioneer
Conferences
ICLR (4)
ICML (2)
NIPS (2)
NSDI (1)
Top co-authors
Keywords
adversarial learning
(1)
adversarial robustness
(1)
data poisoning
(1)
robust classification
(1)
privacy preservation
(1)
adversarial training
(1)
least squares regression
(1)
backdoor attack
(1)
model training
(1)
adversarial example
(1)
verifiable training
(1)
hardware nondeterminism
(1)
training replication
(1)
model verification
(1)
aggregate statistics
(1)
secret sharing
(1)
zero-knowledge proof
(1)
perturbation type
(1)
gradient masking
(1)
model replication
(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
NIPS 2024
Differentially Private Learning Needs Better Features (or Much More Data)
ICLR 2021
Adversarial Training and Robustness for Multiple Perturbations
NIPS 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