Mathias Lécuyer
6 papers · 2021–2025 · 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core AI
(4)
Application Areas
(3)
Mathematics & Optimization
(2)
Security & Privacy
(2)
Learning Types
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Applications
(1)
Core Methods
(1)
Differential Privacy
(1)
Mathematics
(1)
Optimization
(1)
Keywords
differential privacy
(3)
causal inference
(1)
adversarial robustness
(1)
model security
(1)
data valuation
(1)
deep learning
(1)
gradient descent
(1)
renyi divergence
(1)
lasso regression
(1)
bias correction
(1)
gaussian priors
(1)
thompson sampling
(1)
upper confidence bound
(1)
adam optimizer
(1)
randomized smoothing
(1)
model training
(1)
stochastic bandit
(1)
influence function
(1)
privacy auditing
(1)
privacy budget
(1)
Papers
Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
ICML 2025
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
NeurIPS 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)
AAAI 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining
NeurIPS 2024
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
ICML 2022
Privacy Budget Scheduling
OSDI 2021